MODEL LEADERBOARDS
Leaderboard
Ranks come verbatim from each evaluator's own official board, synced on a schedule. The rulers differ (Arena is human-preference Elo, Terminal-Bench a task success rate, SWE-bench an issue resolve rate), so a score is only comparable within its own board — a cross-board composite would look comparable without being so. This page gives three things: who is on top, by how much, and when the score was measured.
- Boards
- 12
- Ranked entries
- 481
- Evaluators
- 6
Last sync Nov 6, 2026Top 25 per board; the footnote links to the full official board.
Large Language Models
2 boards · 100 entriesArtificial Analysis Intelligence Index
artificialanalysis.airanked by: Official intelligence index (higher is better)Artificial Analysis' own composite intelligence index: knowledge, reasoning and agentic evaluations folded into a single scale — the most widely cited cross-vendor measure of absolute capability. Different reasoning efforts of the same model are listed separately, as the source does.
| # | Model | Intelligence Index | Price in $/M | Price out $/M | Notes |
|---|---|---|---|---|---|
| 1 | Gemini 4 Carbon (high)Google | 60.03 | $4 | $20 | 1M · 2026-10-28 |
| 2 | Claude Opus 5.5 (max)Anthropic | 59.11 | $4 | $20 | 1M · 2026-09-22 |
| 3 | Gemini 4 Carbon (medium)Google | 58.26 | $4 | $20 | 1M · 2026-10-28 |
| 4 | Claude Opus 5.5 (xhigh)Anthropic | 57.44 | $4 | $20 | 1M · 2026-09-22 |
| 5 | GPT-6 Astra (max)OpenAI | 56.85 | $10 | $50 | 1M · 2026-09-03 |
| 6 | GPT-6 Astra (xhigh)OpenAI | 55.31 | $10 | $50 | 1M · 2026-09-03 |
| 7 | GPT-6 Astra (high)OpenAI | 54.85 | $10 | $50 | 1M · 2026-09-03 |
| 8 | GPT-6.1 Sol (max)OpenAI | 54.61 | $2 | $10 | 1M · 2026-09-29 |
| 9 | Claude Sonnet 5.5 (max)Anthropic | 54.54 | $2 | $10 | 1M · 2026-09-28 |
| 10 | Gemini 4 Carbon (low)Google | 54.22 | $4 | $20 | 1M · 2026-10-28 |
| 11 | GPT-6.1 Sol (xhigh)OpenAI | 52.46 | $2 | $10 | 1M · 2026-09-29 |
| 12 | Claude Opus 5.5 (high)Anthropic | 51.84 | $4 | $20 | 1M · 2026-09-22 |
| 13 | GPT-6 Astra (medium)OpenAI | 51.55 | $10 | $50 | 1M · 2026-09-03 |
| 14 | GPT-6.1 Terra (max)OpenAI | 51.33 | $1 | $5 | 1M · 2026-10-26 |
| 15 | Gemini 4 Argon (high)Google | 50.41 | $4 | $20 | 1M · 2026-09-30 |
| 16 | GPT-6.1 Sol (high)OpenAI | 50.33 | $2 | $10 | 1M · 2026-09-29 |
| 17 | Muse Wonder Full (max)Meta | 50.08 | — | — | 1M · 2026-10-12 |
| 18 | Claude Fable 5.1 (xhigh)Anthropic | 50.02 | $10 | $50 | 1M · 2026-09-01 |
| 19 | Claude Sonnet 5.5 (xhigh)Anthropic | 49.92 | $2 | $10 | 1M · 2026-09-28 |
| 20 | Claude Fable 5.1 (max)Anthropic | 49.16 | $10 | $50 | 1M · 2026-09-01 |
| 21 | Claude Opus 5.5 (medium)Anthropic | 48.21 | $4 | $20 | 1M · 2026-09-22 |
| 22 | Claude Fable 5.1 (high)Anthropic | 47.17 | $10 | $50 | 1M · 2026-09-01 |
| 23 | Kimi K3.1 ProKimi | 46.45 | $2 | $10 | 1M · Open · 2026-10-23 |
| 24 | GPT-6.1 Sol (medium)OpenAI | 46.35 | $2 | $10 | 1M · 2026-09-29 |
| 25 | GPT-6.1 Terra (xhigh)OpenAI | 45.25 | $1 | $5 | 1M · 2026-10-26 |
Arena Text Chatbot Leaderboard
arena.airanked by: Arena preference score (higher is better)The largest ongoing human-preference blind eval: Arena (formerly LMArena) ranks models by anonymous real-user battle votes.
| # | Model | Arena score | Votes |
|---|---|---|---|
| 1 | Gemini 4 Carbon (High)google | 1540±9.4 | 4,403 |
| 2 | Gemini 4 Argon (High)google | 1529±6.2 | 11,889 |
| 3 | Claude Opus 5.5 (High)anthropic | 1516±6.6 | 11,415 |
| 4 | Claude Fable 5.1 (Max)anthropic | 1514±5.8 | 17,178 |
| 5 | Claude Opus 5 (Max)anthropic | 1508±4.7 | 35,531 |
| 6 | Claude Opus 5 (High)anthropic | 1504±3.6 | 73,167 |
| 7 | Claude Opus 4.6 (High)anthropic | 1502±3.2 | 84,512 |
| 8 | Muse Wonder (Max)meta | 1499±7.3 | 7,749 |
| 9 | Gemini 3.8 Flash (High)google | 1498±4.4 | 47,803 |
| 10 | Claude Opus 4.6anthropic | 1496±3.2 | 89,324 |
| 11 | Claude Fable 5 (High)anthropic | 1492±4.2 | 45,341 |
| 12 | MiMo-V2.6-Proxiaomi | 1491±9.4 | 4,037 |
| 13 | Muse Spark 1.3 (Max)meta | 1491±5.2 | 22,134 |
| 14 | Claude Opus 4.7 (High)anthropic | 1490±3.7 | 65,110 |
| 15 | Gemini 3.7 Flash (High)google | 1489±4.7 | 32,289 |
| 16 | Qwen3.8-Maxalibaba | 1483±4.8 | 31,915 |
| 17 | Claude Opus 4.7anthropic | 1483±3.7 | 66,140 |
| 18 | Muse Spark 1.2 (xHigh)meta | 1483±6.3 | 11,724 |
| 19 | Gemini 3.5 Flash (High)google | 1482±3.9 | 48,376 |
| 20 | Gemini 3.1 Pro Previewgoogle | 1480±2.9 | 132,547 |
| 21 | Gemini 3.6 Flash (High)google | 1480±4.4 | 36,028 |
| 22 | Gemini 3 Progoogle | 1479±3.8 | 42,057 |
| 23 | Muse Spark 1.1meta | 1478±4.1 | 46,354 |
| 24 | Gemini 3.5 Flash (Medium)google | 1478±4.1 | 47,196 |
| 25 | Kimi K3 (Max)moonshot | 1476±4.4 | 36,780 |
Agents
2 boards · 85 entriesArena Agent Leaderboard
arena.airanked by: IPS score in percentage points (higher is better)Arena's aggregate Agent eval: an IPS score measures net improvement on real tool-use tasks, with official task cost.
| # | Model | IPS score (%) | Cost/task P50 ($) |
|---|---|---|---|
| 1 | Claude Opus 5.5 (Max)anthropic | 20.04%±2.1 | $6.82 |
| 2 | Gemini 4 Carbon (High)google | 16.56%±0.8 | $1.73 |
| 3 | Claude Sonnet 5.5 (Max)anthropic | 14.62%±2.8 | $3.94 |
| 4 | GPT-6 Astra (Max)openai | 13.68%±2.0 | $6.09 |
| 5 | Claude Fable 5.1 (Max)anthropic | 13.15%±1.9 | $6.95 |
| 6 | GPT-6.1 Sol (Max)openai | 12.24%±1.1 | $0.96 |
| 7 | Gemini 4 Argon (High)google | 10.61%±0.8 | $1 |
| 8 | GPT-6.1 Terra (Max)openai | 10.19%±1.2 | $0.79 |
| 9 | Muse Wonder Full (Max)meta | 9.63%±1.0 | — |
| 10 | Claude Fable 5 (High)anthropic | 7.78%±1.1 | $3.92 |
| 11 | Claude Opus 5 (Max)anthropic | 7.6%±1.2 | $5.62 |
| 12 | GPT-6 Sol (Max)openai | 6.95%±1.6 | $1.74 |
| 13 | Kimi K3.1 Pro (Max)moonshot | 4.7%±1.3 | $1.47 |
| 14 | GPT-5.6 Sol (xHigh)openai | 4.56%±1.0 | $1.73 |
| 15 | Claude Sonnet 5 (High)anthropic | 2.84%±1.2 | $1.11 |
| 16 | Grok 4.7 (xHigh)xai | 2.64%±1.5 | $2.61 |
| 17 | Gemini 3.8 Flash (High)google | 2.56%±0.8 | $0.76 |
| 18 | Muse Wonder (Max)meta | 2.51%±1.4 | $1.43 |
| 19 | Muse Spark 1.3 (Max)meta | 2.44%±0.8 | $0.45 |
| 20 | MiMo-V2.6-Proxiaomi | 2.44%±0.9 | $0.16 |
| 21 | DeepSeek-V4.1-Flash-20261017 (Max)deepseek | 2.13%±0.6 | $0.18 |
| 22 | GPT-6 Luna (Max)openai | 1.92%±0.4 | $0.09 |
| 23 | GLM-5.3 (Max)zai | 1.17%±0.8 | $1.14 |
| 24 | Hy4 previewtencent | 0.94%±0.7 | $0.44 |
| 25 | Kimi K3 (Max)moonshot | 0.86%±0.6 | $1.12 |
Terminal-Bench 4.0
tbench.airanked by: Task success rate %Hard terminal-agent benchmark: success rate, cost and tokens on real shell/engineering tasks, maintained by the Laude Institute.
| # | Model | Accuracy % | pass@5 | Trials | Notes |
|---|---|---|---|---|---|
| 1 | Opus 5.5Anthropic · Claude Code | 64.9% | 78.8% | 330 | Claude Code · $4.7k · 2026-09-22 |
| 2 | Sonnet 5.5Anthropic · Claude Code | 61.8% | 77.3% | 330 | Claude Code · $7.3k · 2026-09-28 |
| 3 | GPT-6 AstraOpenAI · Codex | 58.2% | 71.2% | 330 | Codex · $3.3k · 2026-09-03 |
| 3 | GPT-6.1 SolOpenAI · Codex | 58.2% | 74.2% | 330 | Codex · $634.24 · 2026-09-29 |
| 5 | GPT-6 AstraOpenAI · Codex | 57.9% | 71.2% | 330 | Codex · $2.3k · 2026-09-03 |
| 5 | Fable 5.1Anthropic · Claude Code | 57.9% | 78.8% | 330 | Claude Code · $6.2k · 2026-09-01 |
| 5 | GPT-6 AstraOpenAI · Codex | 57.9% | 69.7% | 330 | Codex · $2.4k · 2026-09-03 |
| 5 | Fable 5.1Anthropic · Claude Code | 57.9% | 75.8% | 330 | Claude Code · $4.9k · 2026-09-01 |
| 9 | Fable 5.1Anthropic · Claude Code | 54.6% | 75.8% | 330 | Claude Code · $4.0k · 2026-09-01 |
| 10 | GPT-6 AstraOpenAI · Codex | 54.2% | 66.7% | 330 | Codex · $1.9k · 2026-09-03 |
| 11 | Fable 5.1Anthropic · Claude Code | 53.9% | 71.2% | 330 | Claude Code · $2.8k · 2026-09-01 |
| 11 | Opus 5Anthropic · Claude Code | 53.9% | 69.7% | 330 | Claude Code · $6.1k · 2026-07-24 |
| 13 | Opus 5Anthropic · Claude Code | 51.8% | 69.7% | 330 | Claude Code · $6.0k · 2026-07-24 |
| 14 | GPT-6 AstraOpenAI · Codex | 50.6% | 63.6% | 330 | Codex · $1.6k · 2026-09-03 |
| 15 | Opus 5Anthropic · Claude Code | 50.3% | 74.2% | 330 | Claude Code · $4.7k · 2026-07-24 |
| 16 | GPT-6 SolOpenAI · Codex | 49.4% | 66.7% | 330 | Codex · $1.5k · 2026-09-22 |
| 17 | Opus 5Anthropic · Claude Code | 44.9% | 69.7% | 330 | Claude Code · $3.2k · 2026-07-24 |
| 18 | Fable 5Anthropic · Claude Code | 44.6% | 68.2% | 330 | Claude Code · $7.3k · 2026-06-09 |
| 19 | Fable 5.1Anthropic · Claude Code | 43.3% | 65.1% | 330 | Claude Code · $2.4k · 2026-09-01 |
| 20 | GLM-5.3Z.ai · Claude Code | 41.8% | 57.6% | 330 | Claude Code · $2.7k · 2026-08-14 |
| 21 | Grok 4.7xAI · Grok Build | 37.6% | 60.6% | 330 | Grok Build · $3.68k (partial: 324/330) · 2026-09-21 |
| 22 | GPT-5.6 SolOpenAI · Codex | 37.3% | 60.6% | 330 | Codex · $2.5k · 2026-06-26 |
| 23 | GLM-5.3-FlashZ.ai · Claude Code | 35.8% | 56.1% | 330 | Claude Code · $118.74 · 2026-08-26 |
| 24 | Opus 5Anthropic · Claude Code | 34.9% | 62.1% | 330 | Claude Code · $2.4k · 2026-07-24 |
| 25 | Qwen3.8-Max-0902Alibaba · Claude Code | 27% | 53% | 330 | Claude Code · $4.6k · 2026-09-02 |
Code
1 boards · 49 entriesSWE-bench Verified
swe-bench.comranked by: Issue resolve rate %Real GitHub-issue repair benchmark (OpenAI-verified subset): end-to-end agent resolve rate, the hardest public signal for coding models.
| # | Model | Resolved % | Cost $ | Notes |
|---|---|---|---|---|
| 1 | Sonar Foundation Agent + Claude 4.5 OpusAnthropic | 79.2% | — | 2025-12-05 |
| 2 | live-SWE-agent + Claude 4.5 OpusAnthropic | 79.2% | — | 2025-12-15 |
| 3 | TRAE + Doubao-Seed-CodeByteDance | 78.8% | — | 2025-09-28 |
| 4 | live-SWE-agent + Gemini 3 Pro PreviewGoogle DeepMind | 77.4% | — | 2025-11-20 |
| 5 | EPAM AI/Run Developer Agent + Claude 4 SonnetAnthropic | 76.8% | — | 2025-08-04 |
| 6 | Atlassian Rovo Dev + MultipleAnthropic | 76.8% | — | 2025-09-02 |
| 7 | mini-SWE-agent + Claude 4.5 OpusAnthropic | 76.8% | $376.95 | 2026-02-17 |
| 8 | ACoder + MultipleAnthropic | 76.4% | — | 2025-08-19 |
| 9 | mini-SWE-agent + Gemini 3 FlashGoogle DeepMind | 75.8% | $177.98 | 2026-02-17 |
| 10 | mini-SWE-agent + MiniMax M2.5Minimax | 75.8% | $36.64 | 2026-02-17 |
| 11 | Warp + MultipleOpenAI | 75.6% | — | 2025-09-01 |
| 12 | mini-SWE-agent + Claude 4.6 OpusAnthropic | 75.6% | $275.76 | 2026-02-17 |
| 13 | TRAE + MultipleAnthropic | 75.2% | — | 2025-06-12 |
| 14 | Harness AI + Claude Sonnet 4Anthropic | 74.8% | — | 2025-07-31 |
| 15 | Sonar Foundation Agent + Claude 4.5 SonnetAnthropic | 74.8% | — | 2025-11-03 |
| 16 | Lingxi-v1.5 + Claude 4 SonnetAnthropic | 74.6% | — | 2025-07-20 |
| 17 | JoyCode + MultipleAnthropic | 74.6% | — | 2025-09-15 |
| 18 | Refact.ai Agent + MultipleAnthropic | 74.4% | — | 2025-06-03 |
| 19 | Prometheus-v1.2.1 + GPT-5OpenAI | 74.4% | — | 2025-10-15 |
| 20 | mini-SWE-agent + Claude 4.5 OpusAnthropic | 74.4% | $360.62 | 2025-11-24 |
| 21 | mini-SWE-agent + Gemini 3 Pro PreviewGoogle DeepMind | 74.2% | $229.98 | 2025-11-18 |
| 22 | Salesforce AI Research SAGE + MultipleAnthropic | 73.8% | — | 2025-11-03 |
| 23 | Tools + Claude 4 OpusAnthropic | 73.2% | — | 2025-05-22 |
| 24 | Salesforce AI Research SAGE + MultipleAnthropic | 73% | — | 2025-10-21 |
| 25 | mini-SWE-agent + GLM 5Z-AI | 72.8% | $267.19 | 2026-02-17 |
Image Generation
2 boards · 100 entriesArena Text-to-Image Leaderboard
arena.airanked by: Arena preference score (higher is better)Arena text-to-image preference board: blind pairwise votes on identical prompts; Elo-style score and vote count.
| # | Model | Arena score | Votes |
|---|---|---|---|
| 1 | GPT-Image-2.5 Sunburstopenai | 1427±5.3 | 40,323 |
| 2 | GPT-Image-2.5 Flareopenai | 1401±5.3 | 39,218 |
| 3 | GPT-Image-2 (Medium)openai | 1381±3.9 | 103,385 |
| 4 | MAI-Image-2.6microsoft-ai | 1329±5.4 | 34,596 |
| 5 | Gemini Nano Banana 2.1google | 1325±8.8 | 5,290 |
| 6 | Grok Imagine Image 2.0xai | 1317±7.2 | 10,902 |
| 7 | Reve 2.1reve | 1300±7.5 | 8,243 |
| 8 | Grok Imagine Image 2.0 (20260801)xai | 1288±5.5 | 26,191 |
| 9 | Muse Imagemeta | 1269±4.6 | 53,444 |
| 10 | Reve 2.0reve | 1268±6.2 | 15,768 |
| 11 | Gemini 3.1 Flash Image (nano-banana-2, Web Search)google | 1257±3.9 | 73,278 |
| 12 | Qwen-Image-3.0-Proalibaba | 1254±6.5 | 11,444 |
| 13 | MAI-Image-2.5microsoft-ai | 1253±4.2 | 61,286 |
| 14 | Seedream 5.0 Probytedance | 1250±3.9 | 105,824 |
| 15 | Gemini 3.1 Flash-Lite Image (nano-banana-2-lite)google | 1249±6.0 | 17,813 |
| 16 | Gemini 3 Pro Image (nano-banana-pro, 2K)google | 1246±3.0 | 188,288 |
| 17 | GPT-Image-1.5 (High Fidelity)openai | 1236±3.0 | 174,012 |
| 18 | Gemini 3 Pro Image Preview (nano-banana-pro)google | 1232±4.9 | 86,470 |
| 19 | Qwen-Image-2.1alibaba | 1225±6.0 | 19,604 |
| 20 | Ideogram 4.0 (Quality)ideogram | 1200±3.8 | 72,865 |
| 21 | Qwen-Image-2.0-Pro (2026-06-22)alibaba | 1191±5.8 | 13,092 |
| 22 | UNI-1.1 Maxluma-ai | 1189±6.2 | 14,076 |
| 23 | MAI-Image-2microsoft-ai | 1183±4.5 | 51,442 |
| 24 | UNI-1.1luma-ai | 1183±4.2 | 55,179 |
| 25 | Grok Imagine Imagexai | 1169±2.6 | 286,515 |
Arena Image Edit Leaderboard
arena.airanked by: Arena preference score (higher is better)Arena image-edit preference board: blind rankings for instruction fidelity and edit quality.
| # | Model | Arena score | Votes |
|---|---|---|---|
| 1 | GPT-Image-2.5 Sunburstopenai | 1517±4.9 | 90,545 |
| 2 | GPT-Image-2.5 Flareopenai | 1482±4.7 | 87,941 |
| 3 | MAI-Image-2.7-Previewmicrosoft-ai | 1471±10.2 | 3,402 |
| 4 | GPT-Image-2 (Medium)openai | 1460±3.1 | 336,785 |
| 5 | Grok Imagine Image 2.0xai | 1439±5.6 | 32,951 |
| 6 | MAI-Image-2.6microsoft-ai | 1427±4.7 | 76,933 |
| 7 | Gemini Nano Banana 2.1google | 1427±5.8 | 12,956 |
| 8 | Grok Imagine Image 2.0 (20260801)xai | 1418±4.5 | 86,928 |
| 9 | Krea 3 Ultrakrea | 1411±11.0 | 2,799 |
| 10 | MAI-Image-2.5microsoft-ai | 1400±3.7 | 190,127 |
| 11 | Muse Imagemeta | 1400±3.9 | 173,384 |
| 12 | Grok Imagine Image (Quality, 20260519)xai | 1391±5.6 | 38,207 |
| 13 | Seedream 5.0 Probytedance | 1390±3.3 | 317,111 |
| 14 | Gemini 3 Pro Image (nano-banana-pro, 2K)google | 1390±2.5 | 685,788 |
| 15 | Gemini 3.1 Flash Image (nano-banana-2, Web Search)google | 1387±3.1 | 262,911 |
| 16 | ChatGPT Image Latest (High Fidelity, 20251216)openai | 1386±2.6 | 659,303 |
| 17 | Gemini 3 Pro Image Preview (nano-banana-pro)google | 1385±2.8 | 540,717 |
| 18 | Reve 2.1reve | 1373±6.0 | 20,815 |
| 19 | GPT-Image-1.5 (High Fidelity)openai | 1368±2.6 | 684,650 |
| 20 | Qwen-Image-2.1alibaba | 1362±5.9 | 39,412 |
| 21 | Reve 2.0reve | 1358±6.5 | 19,281 |
| 22 | Ideogram 4.5ideogram | 1347±4.7 | 57,711 |
| 23 | UNI-1.1 Maxluma-ai | 1334±4.9 | 43,462 |
| 24 | Grok Imagine Imagexai | 1329±2.4 | 805,966 |
| 25 | UNI-1.1luma-ai | 1316±3.3 | 218,673 |
Video Generation
2 boards · 96 entriesArena Text-to-Video Leaderboard
arena.airanked by: Arena preference score (higher is better)Arena text-to-video preference board: double-blind votes on motion quality, prompt adherence and aesthetics.
| # | Model | Arena score | Votes |
|---|---|---|---|
| 1 | gemini-omni-1.1-flashgoogle | 1516±15.4 | 1,784 |
| 2 | gemini-omni-flashgoogle | 1513±9.0 | 26,576 |
| 3 | flux-3-videobfl | 1493±17.2 | 1,302 |
| 4 | grok-imagine-video-1.5-agentxai | 1492±18.3 | 1,218 |
| 5 | dreamina-seedance-2.0-720pbytedance | 1479±8.0 | 56,318 |
| 6 | wan3.0alibaba | 1476±12.7 | 2,598 |
| 7 | dreamina-seedance-2.5-720pbytedance | 1474±8.5 | 8,001 |
| 8 | minimax-h3minimax | 1460±8.6 | 11,417 |
| 9 | muse-videometa | 1456±14.7 | 2,188 |
| 10 | happyhorse-1.0aorizon | 1427±12.5 | 22,264 |
| 11 | sora-2-proopenai | 1368±6.7 | 54,167 |
| 12 | veo-3.1-audiogoogle | 1364±14.4 | 13,741 |
| 13 | veo-3.1-audio-1080pgoogle | 1362±10.3 | 25,076 |
| 14 | veo-3.1-fast-audiogoogle | 1362±10.4 | 39,484 |
| 15 | veo-3.1-fast-audio-1080pgoogle | 1358±10.0 | 25,870 |
| 16 | veo-3-fast-audiogoogle | 1348±11.3 | 25,258 |
| 17 | sora-2openai | 1343±6.1 | 71,947 |
| 18 | grok-imagine-video-720pxai | 1342±6.4 | 165,462 |
| 19 | veo-3-audiogoogle | 1340±12.6 | 19,002 |
| 20 | wan2.7-t2vwan | 1337±7.3 | 27,626 |
| 21 | wan2.6-t2valibaba | 1327±7.4 | 54,050 |
| 22 | seedance-v1.5-probytedance | 1256±6.7 | 76,171 |
| 23 | veo-3google | 1254±11.3 | 15,005 |
| 24 | veo-3-fastgoogle | 1248±11.9 | 15,283 |
| 25 | wan2.5-t2v-previewalibaba | 1245±8.7 | 36,378 |
Arena Image-to-Video Leaderboard
arena.airanked by: Arena preference score (higher is better)Arena image-to-video preference board: double-blind votes on first-frame fidelity and motion plausibility.
| # | Model | Arena score | Votes |
|---|---|---|---|
| 1 | minimax-h3minimax | 1495±5.2 | 57,112 |
| 2 | gemini-omni-1.1-flashgoogle | 1488±10.9 | 3,734 |
| 3 | wan3.0alibaba | 1480±10.8 | 3,442 |
| 4 | dreamina-seedance-2.5-720pbytedance | 1477±7.2 | 15,729 |
| 5 | dreamina-seedance-2.0-720pbytedance | 1475±7.0 | 121,427 |
| 6 | gemini-omni-flashgoogle | 1465±5.5 | 87,155 |
| 7 | hidream-o1-video-1.0hidream | 1456±7.9 | 6,488 |
| 8 | grok-imagine-video-1.5-720pxai | 1456±4.2 | 137,459 |
| 9 | flux-3-video-20260811bfl | 1449±4.9 | 37,042 |
| 10 | happyhorse-1.0aorizon | 1442±9.8 | 70,640 |
| 11 | wan2.7-i2vwan | 1428±4.8 | 85,521 |
| 12 | grok-imagine-video-720pxai | 1415±4.1 | 554,050 |
| 13 | veo-3.1-audiogoogle | 1398±10.5 | 25,116 |
| 14 | veo-3.1-audio-1080pgoogle | 1390±8.6 | 53,089 |
| 15 | veo-3.1-fast-audiogoogle | 1385±8.8 | 99,804 |
| 16 | grok-imagine-video-480pxai | 1385±8.4 | 19,429 |
| 17 | veo-3.1-fast-audio-1080pgoogle | 1372±9.5 | 54,380 |
| 18 | vidu-q3-proshengshu | 1363±8.7 | 36,679 |
| 19 | kling-v3-prokling | 1354±5.5 | 206,221 |
| 20 | veo-3-audiogoogle | 1331±11.6 | 32,367 |
| 21 | veo-3-fast-audiogoogle | 1326±9.5 | 41,194 |
| 22 | wan2.5-i2v-previewalibaba | 1321±10.3 | 16,907 |
| 23 | wan2.6-i2valibaba | 1310±6.8 | 121,082 |
| 24 | seedance-v1.5-probytedance | 1307±7.1 | 245,206 |
| 25 | pixverse-v5.6 | 1299±7.3 | 126,710 |
3D Generation
1 boards · 6 entriesT3 Bench 3D Generation Leaderboard
t3bench.comranked by: GPT-4V judged averageOfficial text-to-3D benchmark: GPT-4V-judged averages on single-object, single-with-surroundings and multi-object sets.
| # | Model | Average | Single Obj. | Single w/ Surr. | Multi Obj. |
|---|---|---|---|---|---|
| 1 | ProlificDreamer | 43.3 | 49.4 | 44.8 | 35.8 |
| 2 | Magic3D | 32.7 | 37 | 35.4 | 25.7 |
| 3 | LatentNeRF | 28.1 | 33.1 | 30.6 | 20.6 |
| 4 | Fantasia3D | 24 | 26.4 | 27 | 18.5 |
| 5 | DreamFusion | 21.7 | 24.4 | 24.6 | 16.1 |
| 6 | SJC | 18.7 | 24.7 | 19.8 | 11.7 |
Embodied AI
2 boards · 45 entriesRoboDojo Simulation Leaderboard
robodojo-benchmark.comranked by: Official composite scoreUnified embodied-policy eval: 42 sim tasks across generalization, precision, long-horizon, memory and open-ended dims.
| # | Model | Gen-Std | Gen-Rand | Precision | Long-Horizon | Memory | Open-Ended | Average |
|---|---|---|---|---|---|---|---|---|
| 1 | DM0.5Dexmal | 23.5 | 8.1 | 24.8 | 33.7 | 47.7 | 2.4 | 24.9 |
| 2 | GalaxeaVLA (G0.5)Galaxea AI | 26.7 | 11.2 | 28.3 | 44.1 | 8.6 | 1.7 | 20.2 |
| 3 | Xiaomi-Robotics-1Xiaomi Robotics | 35.7 | 11.4 | 26.7 | 38.4 | 7.8 | 3.9 | 20.1 |
| 4 | Hy-Embodied-0.5-VLATencent Robotics X | 22 | 1.6 | 13.8 | 25.7 | 13.4 | 0.7 | 13.1 |
| 5 | Spatial ForcingOpenHelix Robotics | 21.3 | 7 | 17.3 | 23.3 | 5.4 | 1.8 | 12.4 |
| 6 | Pi-05RoboDojo Team | 20.9 | 5.8 | 12.4 | 23.5 | 5.8 | 2 | 11.4 |
| 7 | InternVLA-A1.5InternVLA Team | 16.8 | 3.9 | 15.2 | 23.8 | 4.9 | 1.4 | 11.2 |
| 8 | VLActStarVLA Team | 16.3 | 2.7 | 20.6 | 20.1 | 0.7 | 2.4 | 10.7 |
| 9 | X-VLARoboDojo Team | 17.9 | 3 | 18.3 | 16.5 | 4.8 | 0.6 | 10.1 |
| 10 | X-WAMX-WAM Team | 11.2 | 3.5 | 6.7 | 17.5 | 6.3 | 0.6 | 7.7 |
| 11 | Xiaomi-Robotics-0RoboDojo Team | 13.8 | 1.1 | 8.4 | 13.5 | 5.1 | 0.2 | 6.9 |
| 12 | StarVLARoboDojo Team | 7.5 | 0.3 | 9.9 | 14.2 | 3.3 | 0.7 | 6.4 |
| 13 | GigaWorld-Policy-0RoboDojo Team | 10.3 | 0.4 | 6.2 | 15.5 | 3.5 | 0.5 | 6.2 |
| 14 | GalaxeaVLA (G0)RoboDojo Team | 8.7 | 0.4 | 8.1 | 12.6 | 3.2 | 0.7 | 5.8 |
| 15 | LingBot-VLARoboDojo Team | 10.9 | 2.6 | 5.3 | 10.9 | 3.8 | 0.7 | 5.5 |
| 16 | EventVLASJTU ScaleLab | 6.7 | 1.2 | 10.1 | 5.1 | 4.9 | 0.8 | 5 |
| 17 | AHA-WAMSJTU ScaleLab | 10.3 | 1.3 | 5.9 | 8.6 | 3 | 0.9 | 4.8 |
| 18 | ABot-M0RoboDojo Team | 9.2 | 2.3 | 5.5 | 4 | 2.4 | 0.7 | 3.7 |
| 19 | Fast-WAMRoboDojo Team | 4.3 | 0.3 | 2 | 9.1 | 3.6 | 0.4 | 3.5 |
| 20 | Pi-0RoboDojo Team | 7.2 | 0.7 | 3.6 | 6.2 | 3.5 | 0.3 | 3.5 |
| 21 | GROOT-N1.7RoboDojo Team | 4 | 0.4 | 2.5 | 8.3 | 1.1 | 0.2 | 2.9 |
| 22 | InternVLA-A1RoboDojo Team | 5.2 | 0.5 | 3 | 4.8 | 1.6 | 0.2 | 2.5 |
| 23 | SmolVLA (Single Task)RoboDojo Team | 3.3 | 0.1 | 2.9 | 1.2 | 3.4 | 0 | 1.8 |
| 24 | LDA-1BRoboDojo Team | 1.4 | 0.2 | 3.2 | 1.9 | 2.1 | 0 | 1.6 |
| 25 | MolmoAct2RoboDojo Team | 0.7 | 0 | 0.5 | 2.3 | 1 | 0.9 | 1 |
RoboDojo Real-World Leaderboard
robodojo-benchmark.comranked by: Official composite scoreReal-robot embodied eval: 18 tasks on ARX X5, Piper and Piper X.
| # | Model | ARX X5 | Piper | Piper X | Average |
|---|---|---|---|---|---|
| 1 | Pi-05RoboDojo Team | 27.7 | 32 | 9.1 | 22.9 |
| 2 | InternVLA-A1RoboDojo Team | 10 | 23.2 | 2.7 | 12 |
| 3 | GalaxeaVLA (G0)RoboDojo Team | 3.4 | 22 | 1.7 | 9 |
| 4 | Xiaomi-Robotics-0RoboDojo Team | 15 | 7.6 | 1.2 | 7.9 |
| 5 | X-VLARoboDojo Team | 6.8 | 15.9 | 0.1 | 7.6 |
| 6 | GROOT-N1.7RoboDojo Team | 9.3 | 6.8 | 1.4 | 5.9 |
| 7 | Pi-0RoboDojo Team | 8.1 | 9 | 0.3 | 5.8 |
| 8 | StarVLARoboDojo Team | 0 | 12 | 0.5 | 4.1 |
| 9 | Spirit v1.5RoboDojo Team | 0 | 4 | 0.7 | 1.6 |
| 10 | DM0RoboDojo Team | 0 | 0 | 0 | 0 |
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