Leaderboards
Which model is best, for what.
One ranking per job, not one ranking for everything. Rebuilt every day from data the benchmark operators publish themselves — each board names its source and the date that source last updated.
Best overall chat model
Head-to-head human preference across everyday prompts. The closest thing there is to a general ranking.
| Rank# | Model | Made by | Arena score | Votes |
|---|---|---|---|---|
| 1 | Gemini 4 Argon (High) | 1,532 | 4,904 | |
| 2 | Claude Opus 5.5 (High) | Anthropic | 1,516 | 8,300 |
| 3 | Claude Fable 5.1 (Max) | Anthropic | 1,512 | 14,590 |
| 4 | Claude Opus 5 (Max) | Anthropic | 1,508 | 32,495 |
| 5 | Claude Opus 5 (High) | Anthropic | 1,503 | 66,824 |
| 6 | Claude Opus 4.6 (High) | Anthropic | 1,502 | 81,394 |
| 7 | Muse Wonder (Max) | Meta | 1,501 | 3,247 |
| 8 | Gemini 3.8 Flash (High) | 1,499 | 37,454 | |
| 9 | Claude Opus 4.6 | Anthropic | 1,498 | 86,071 |
| 10 | Claude Fable 5 (High) | Anthropic | 1,491 | 42,004 |
| 11 | Mimo V2.6 Pro Open | Xiaomi | 1,491 | 4,075 |
| 12 | Muse Spark 1.3 (Max) | Meta | 1,490 | 17,561 |
| 13 | Claude Opus 4.7 (High) | Anthropic | 1,490 | 65,116 |
| 14 | Gemini 3.7 Flash (High) | 1,487 | 27,232 | |
| 15 | Muse Spark 1.2 (xHigh) | Meta | 1,484 | 8,248 |
| 16 | Claude Opus 4.7 | Anthropic | 1,483 | 66,216 |
| 17 | Qwen3.8 Max | Alibaba | 1,483 | 27,766 |
| 18 | Gemini 3.5 Flash High | 1,482 | 48,486 | |
| 19 | Gemini 3.1 Pro Preview | 1,480 | 127,649 | |
| 20 | Gemini 3 Pro | 1,479 | 42,072 | |
| 21 | Gemini 3.6 Flash High | 1,479 | 36,122 | |
| 22 | Muse Spark 1.1 | Meta | 1,478 | 42,810 |
| 23 | Gemini 3.5 Flash Medium | 1,477 | 47,292 | |
| 24 | Qwen3.7 Max Preview | Alibaba | 1,475 | 3,934 |
| 25 | Kimi K3 (Max) Open | Moonshot AI | 1,475 | 32,795 |
Best model for coding
Judged on real build tasks where a human picks the better result, not on a self-reported pass rate.
| Rank# | Model | Made by | Arena score | Votes |
|---|---|---|---|---|
| 1 | Claude Opus 5.5 (Max) | Anthropic | 1,807 | 2,775 |
| 2 | GPT-6 Astra (Max) | OpenAI | 1,777 | 6,014 |
| 3 | Claude Sonnet 5.5 (xHigh) | Anthropic | 1,768 | 3,182 |
| 4 | GPT-6.1 Sol (Max) | OpenAI | 1,755 | 2,863 |
| 5 | Claude Fable 5.1 (Max) | Anthropic | 1,741 | 7,503 |
| 6 | Claude Sonnet 5.5 (High) | Anthropic | 1,711 | 4,914 |
| 7 | Claude Opus 5 (Max) | Anthropic | 1,689 | 18,310 |
| 8 | GPT-6 Sol (Max) | OpenAI | 1,683 | 4,364 |
| 9 | Gemini 4 Argon (High) | 1,678 | 1,775 | |
| 10 | Qwen3.8-Max (0902) | Alibaba | 1,674 | 13,812 |
| 11 | Qwen3.8-Max | Alibaba | 1,672 | 3,440 |
| 12 | Muse Spark 1.3 (Max) | Meta | 1,658 | 9,068 |
| 13 | Claude Opus 5 (High) | Anthropic | 1,657 | 24,211 |
| 14 | Kimi K3 (Max) Open | Moonshot AI | 1,655 | 19,220 |
| 15 | Muse Wonder (Max) | Meta | 1,650 | 1,942 |
| 16 | Grok 4.7 (xHigh) | xAI | 1,639 | 5,021 |
| 17 | MiMo-V2.6-Flash Open | Xiaomi | 1,634 | 5,016 |
| 18 | Hy4 preview Open | Tencent | 1,631 | 4,802 |
| 19 | Qwen3.8-Flash-Next Open | Alibaba | 1,630 | 8,083 |
| 20 | MiMo-V2.6-Pro Open | Xiaomi | 1,625 | 4,763 |
| 21 | Claude Fable 5 (High) | Anthropic | 1,625 | 15,612 |
| 22 | Muse Spark 1.3 (xHigh) | Meta | 1,622 | 8,436 |
| 23 | GLM-5.3 (Max) Open | Zai | 1,621 | 9,542 |
| 24 | DeepSeek-V4.1-Flash (Max) Open | DeepSeek | 1,618 | 3,540 |
| 25 | Grok 4.6 (High) | xAI | 1,617 | 10,179 |
Best agent model
Long-running tasks with tool calls, where being nearly right at step three ruins step nine.
| Rank# | Model | Made by | Score % | Votes |
|---|---|---|---|---|
| 1 | Claude Opus 5.5 (Max) | Anthropic | 18.9 | 10,551 |
| 2 | GPT-6 Astra (Max) | OpenAI | 14.1 | 13,168 |
| 3 | Claude Fable 5.1 (Max) | Anthropic | 14.0 | 16,374 |
| 4 | GPT-6.1 Sol (Max) | OpenAI | 13.6 | 13,444 |
| 5 | Gemini 4 Argon (High) | 13.2 | 30,489 | |
| 6 | Claude Sonnet 5.5 (Max) | Anthropic | 13.0 | 7,560 |
| 7 | GPT-6 Sol (Max) | OpenAI | 10.3 | 7,887 |
| 8 | Claude Opus 5 (Max) | Anthropic | 8.7 | 23,770 |
| 9 | Claude Fable 5 (High) | Anthropic | 8.2 | 42,608 |
| 10 | GPT-5.6 Sol (xHigh) | OpenAI | 7.1 | 36,545 |
| 11 | Muse Wonder (Max) | Meta | 4.9 | 7,690 |
| 12 | Claude Sonnet 5 (High) | Anthropic | 4.6 | 33,276 |
| 13 | MiMo-V2.6-Pro Open | Xiaomi | 4.0 | 27,455 |
| 14 | Muse Spark 1.3 (Max) | Meta | 3.8 | 73,912 |
| 15 | Gemini 3.8 Flash (High) | 3.7 | 37,692 | |
| 16 | Grok 4.7 (xHigh) | xAI | 3.2 | 15,127 |
| 17 | GPT-5.5 (xHigh) | OpenAI | 3.1 | 54,331 |
| 18 | GPT-6 Luna (Max) | OpenAI | 3.0 | 163,815 |
| 19 | DeepSeek-V4.1-Flash (Max) Open | DeepSeek | 2.7 | 241,716 |
| 20 | Hy4 preview Open | Tencent | 2.7 | 84,828 |
| 21 | MiMo-V2.6-Flash Open | Xiaomi | 2.6 | 19,620 |
| 22 | GLM-5.2 (Max) Open | Zai | 2.3 | 87,460 |
| 23 | Kimi K3 (Max) Open | Moonshot AI | 1.9 | 135,415 |
| 24 | GLM-5.3 (Max) Open | Zai | 1.8 | 86,541 |
| 25 | Qwen3.8-Max | Alibaba | 1.8 | 68,968 |
Best model for images and documents
Understanding what is in a picture, a chart or a scanned page.
| Rank# | Model | Made by | Arena score | Votes |
|---|---|---|---|---|
| 1 | Claude Fable 5 High | Anthropic | 1,324 | 14,175 |
| 2 | Claude Opus 5.5 High | Anthropic | 1,321 | 2,508 |
| 3 | Claude Opus 5 High | Anthropic | 1,319 | 16,665 |
| 4 | Claude Fable 5.1 Max | Anthropic | 1,318 | 4,648 |
| 5 | Claude Opus 4.7 | Anthropic | 1,316 | 23,165 |
| 6 | Gemini 3.7 Flash High | 1,316 | 4,524 | |
| 7 | Claude Opus 4.6 High | Anthropic | 1,316 | 22,304 |
| 8 | Gemini 3.8 Flash High | 1,314 | 3,792 | |
| 9 | Qwen3.8 Max | Alibaba | 1,314 | 10,017 |
| 10 | Claude Opus 4.6 | Anthropic | 1,313 | 26,853 |
| 11 | Claude Opus 4.7 High | Anthropic | 1,313 | 22,733 |
| 12 | Gemini 3.5 Flash High | 1,310 | 13,103 | |
| 13 | Muse Spark 1.3 Max | Meta | 1,309 | 4,550 |
| 14 | Gemini 3.5 Flash Medium | 1,309 | 13,180 | |
| 15 | Muse Spark | Meta | 1,306 | 5,872 |
| 16 | Gemini 3 Pro | 1,305 | 13,639 | |
| 17 | muse-spark-1.2 (xHigh) | Meta | 1,305 | 1,954 |
| 18 | GPT 5.4 High | OpenAI | 1,303 | 29,881 |
| 19 | muse-spark-1.3 (xHigh) | Meta | 1,301 | 4,077 |
| 20 | Gemini 3.6 Flash High | 1,298 | 8,127 | |
| 21 | GPT 5.5 | OpenAI | 1,297 | 27,993 |
| 22 | Gemini 3.1 Pro Preview | 1,296 | 46,320 | |
| 23 | Glm 5.3 Flash Open | Zai | 1,296 | 11,157 |
| 24 | Claude Opus 4.8 High | Anthropic | 1,294 | 18,341 |
| 25 | Muse Spark 1.1 | Meta | 1,293 | 11,994 |
Best model for search
Answers that cite the live web, ranked on whether the citation holds up.
| Rank# | Model | Made by | Arena score | Votes |
|---|---|---|---|---|
| 1 | GPT 5.6 Sol Xhigh | OpenAI | 1,261 | 60,437 |
| 2 | Qwen3.8 Max | Alibaba | 1,261 | 1,870 |
| 3 | Claude Opus 4.6 Search | Anthropic | 1,251 | 173,191 |
| 4 | GPT 5.5 Search | OpenAI | 1,247 | 125,957 |
| 5 | Claude Fable 5.1 High | Anthropic | 1,246 | 12,782 |
| 6 | Claude Opus 5 High | Anthropic | 1,242 | 13,285 |
| 7 | GPT 6 Astra Max | OpenAI | 1,234 | 18,483 |
| 8 | GPT 6.1 Sol Max | OpenAI | 1,233 | 5,555 |
| 9 | Claude Opus 4.7 | Anthropic | 1,230 | 127,506 |
| 10 | Claude Fable 5 High | Anthropic | 1,229 | 73,596 |
| 11 | Ernie 5.1 | Baidu | 1,227 | 4,024 |
| 12 | Claude Sonnet 4.6 Search | Anthropic | 1,221 | 173,986 |
| 13 | Grok 4.5 | xAI | 1,216 | 76,458 |
| 14 | Claude Opus 5.5 Medium | Anthropic | 1,213 | 10,842 |
| 15 | Gemini 3.1 Pro Grounding | 1,209 | 151,436 | |
| 16 | GPT 5.2 Search | OpenAI | 1,207 | 55,634 |
| 17 | Gemini 3 Pro Grounding | 1,206 | 38,857 | |
| 18 | Grok 4.20 Multi Agent Beta | xAI | 1,205 | 126,238 |
| 19 | Claude Opus 4.8 | Anthropic | 1,204 | 106,304 |
| 20 | GPT 5.1 Search | OpenAI | 1,200 | 63,042 |
| 21 | GPT 5.4 Search | OpenAI | 1,199 | 126,730 |
| 22 | Gemini 3 Flash Grounding | 1,196 | 196,399 | |
| 23 | Claude Sonnet 5 Search | Anthropic | 1,191 | 72,978 |
| 24 | Grok 4.20 Beta1 | xAI | 1,190 | 57,049 |
| 25 | Claude Opus 4.5 Search | Anthropic | 1,180 | 65,047 |
Best image generator
Text-to-image, ranked by people choosing between two results.
| Rank# | Model | Made by | Arena score | Votes |
|---|---|---|---|---|
| 1 | GPT Image 2.5 Sunburst | OpenAI | 1,425 | 17,752 |
| 2 | GPT Image 2.5 Flare | OpenAI | 1,398 | 16,889 |
| 3 | gpt-image-2 (medium) | OpenAI | 1,383 | 93,334 |
| 4 | grok-imagine-image-2.0 (canvas) | xAI | 1,334 | 3,113 |
| 5 | Mai Image 2.6 | Microsoft-Ai | 1,332 | 25,091 |
| 6 | Gemini Nano Banana 2.1 | 1,328 | 5,310 | |
| 7 | Reve 2.1 | Reve | 1,302 | 8,249 |
| 8 | grok-imagine-image-2.0 (20260801) | xAI | 1,294 | 14,483 |
| 9 | Muse Image | Meta | 1,274 | 42,262 |
| 10 | Reve 2.0 | Reve | 1,269 | 15,773 |
| 11 | gemini-3.1-flash-image (nano-banana-2) [web-search] | 1,262 | 60,515 | |
| 12 | Seedream 5.0 Pro | ByteDance | 1,255 | 94,181 |
| 13 | Qwen Image 3.0 Pro | Alibaba | 1,255 | 11,440 |
| 14 | Mai Image 2.5 | Microsoft-Ai | 1,254 | 61,265 |
| 15 | gemini-3.1-flash-lite-image (nano-banana-2-lite) | 1,250 | 17,804 | |
| 16 | gemini-3-pro-image-2k (nano-banana-pro) | 1,248 | 175,734 | |
| 17 | GPT Image 1.5 High Fidelity | OpenAI | 1,237 | 169,927 |
| 18 | gemini-3-pro-image-preview (nano-banana-pro) | 1,234 | 86,464 | |
| 19 | Qwen Image 2.1 Open | Alibaba | 1,223 | 11,441 |
| 20 | Ideogram 4.0 Quality Open | Ideogram | 1,205 | 60,591 |
| 21 | Qwen Image 2.0 Pro 2026.06.22 | Alibaba | 1,192 | 13,096 |
| 22 | Uni 1.1 Max | Luma AI | 1,189 | 14,072 |
| 23 | Uni 1.1 | Luma AI | 1,184 | 46,699 |
| 24 | Mai Image 2 | Microsoft-Ai | 1,184 | 51,475 |
| 25 | Grok Imagine Image | xAI | 1,170 | 272,085 |
Best video generator
Text-to-video, same method: two clips, a human picks one.
| Rank# | Model | Made by | Arena score | Votes |
|---|---|---|---|---|
| 1 | Gemini Omni 1.1 Flash | 1,516 | 1,784 | |
| 2 | Gemini Omni Flash | 1,513 | 26,576 | |
| 3 | Flux 3 Video | Bfl | 1,493 | 1,302 |
| 4 | Grok Imagine Video 1.5 Agent | xAI | 1,492 | 1,218 |
| 5 | Dreamina Seedance 2.0 720p | ByteDance | 1,479 | 56,318 |
| 6 | Wan3.0 | Alibaba | 1,476 | 2,598 |
| 7 | Dreamina Seedance 2.5 720p | ByteDance | 1,474 | 8,001 |
| 8 | Minimax H3 Open | MiniMax | 1,460 | 11,417 |
| 9 | Muse Video | Meta | 1,456 | 2,188 |
| 10 | Happyhorse 1.0 | Aorizon | 1,427 | 22,264 |
| 11 | Sora 2 Pro | OpenAI | 1,368 | 54,167 |
| 12 | Veo 3.1 Audio | 1,364 | 13,741 | |
| 13 | Veo 3.1 Audio 1080p | 1,362 | 25,076 | |
| 14 | Veo 3.1 Fast Audio | 1,362 | 39,484 | |
| 15 | Veo 3.1 Fast Audio 1080p | 1,358 | 25,870 | |
| 16 | Veo 3 Fast Audio | 1,348 | 25,258 | |
| 17 | Sora 2 | OpenAI | 1,343 | 71,947 |
| 18 | Grok Imagine Video 720p | xAI | 1,342 | 165,462 |
| 19 | Veo 3 Audio | 1,340 | 19,002 | |
| 20 | Wan2.7 T2v | Wan | 1,337 | 27,626 |
| 21 | Wan2.6 T2v | Alibaba | 1,327 | 54,050 |
| 22 | Seedance V1.5 Pro | ByteDance | 1,256 | 76,171 |
| 23 | Veo 3 | 1,254 | 15,005 | |
| 24 | Veo 3 Fast | 1,248 | 15,283 | |
| 25 | Wan2.5 T2v Preview | Alibaba | 1,245 | 36,378 |
Cheapest capable models
Live list prices across providers. Ranking here is arithmetic, not opinion.
| Rank# | Model | Made by | Per 1M tokens | Context |
|---|---|---|---|---|
| 1 | Mistral Nemo | Mistral | $0.029 | 131K |
| 2 | Ling 3.0 Flash | inclusionAI | $0.032 | 262K |
| 3 | gpt-oss-20b | OpenAI | $0.036 | 131K |
| 4 | Granite 4.0 Micro | IBM | $0.041 | 131K |
| 5 | Nex-N2.5-Mini | Nex AGI | $0.044 | 262K |
| 6 | gpt-oss-20b (batch) | OpenAI | $0.046 | 131K |
| 7 | DeepSeek V4 Flash Latest | DeepSeek | $0.048 | 1.049M |
| 8 | Qwen3.7 Flash | Qwen | $0.055 | 1M |
| 9 | gpt-oss-120b (batch) | OpenAI | $0.056 | 131K |
| 10 | Llama 3.1 8B Instruct | Meta | $0.057 | 131K |
| 11 | Schematron V2 Turbo | Inference.net | $0.060 | 128K |
| 12 | Nova Micro 1.0 | Amazon | $0.061 | 128K |
| 13 | Gemma 3 4B | $0.062 | 131K | |
| 14 | Command R7B (12-2024) | Cohere | $0.066 | 128K |
| 15 | Mercury 2.5 | Inception | $0.068 | 260K |
| 16 | GPT-5 Nano (batch) | OpenAI | $0.069 | 400K |
| 17 | DeepSeek V4.1 Flash (batch) | DeepSeek | $0.075 | 1.049M |
| 18 | Laguna XS 2.1 | Poolside | $0.075 | 262K |
| 19 | Ministral 3 8B 2512 (batch) | Mistral | $0.075 | 262K |
| 20 | Gemma 3 12B | $0.075 | 131K | |
| 21 | GLM 5.3 Flash (batch) | Z.ai | $0.083 | 1.049M |
| 22 | DeepSeek V4.1 Flash | DeepSeek | $0.085 | 1.049M |
| 23 | GLM Flash Latest | Z.ai | $0.086 | 1.049M |
| 24 | GLM 5.3 Flash | Z.ai | $0.086 | 1.049M |
| 25 | Solar Mini 4 | Upstage | $0.087 | 524K |
How to read these
Arena scores are relative, not absolute. They come from people comparing two anonymous answers and picking one. A 20-point gap near the top is often inside the margin of error — treat the top few as a tie unless the confidence intervals separate.
A benchmark is not your workload. The board tells you which model wins on average across other people's prompts. Yours are different. Use it to pick two candidates, then test both on your own work.
Prices move faster than rankings. The price board is list price per million tokens, blended three parts input to one part output. Providers discount, cache and rate-limit differently, so it is a starting point, not a bill.
We do not run these tests. Every number here is published by the operator named next to it and copied without adjustment. If a board looks stale, its source has not updated — the date shown is theirs, not ours.