Leaderboard
Cost and speed
What a score costs in time and money, on equal work: models with a best run on all 12 benchmarks, their mean score, the mean cost per 1,000 documents and the mean time per input.
Provider
95 models with a priced and timed best run on all 12 benchmarksOnly models with a best run on every benchmark are compared, so all did the same work. 12 more have all 12 but lack a price or a timing for one of them.
Time per score pointMilliseconds per input, divided by the mean score. Lower is more time-efficient.
- gemini-3.1-flash-liteGoogle · score 69.5 51 ms
- claude-haiku-5-5Anthropic · score 67.5 62 ms
- mistral-small-2603Mistral · score 59.6 85 ms
- gemini-3.7-flashGoogle · score 84.0 93 ms
- claude-sonnet-5-5Anthropic · score 86.9 105 ms
- gpt-5.4-2026-03-05OpenAI · score 80.2 107 ms
- gpt-5.3-codexOpenAI · score 81.7 119 ms
- claude-opus-5-5Anthropic · score 89.8 144 ms
- ministral-3b-2512Mistral · score 51.0 161 ms
- claude-fable-5Anthropic · score 88.1 163 ms
- claude-opus-4-8Anthropic · score 82.2 163 ms
- gpt-6-solOpenAI · score 86.3 165 ms
- gpt-5.1-2025-11-13OpenAI · score 70.1 172 ms
- gpt-6-lunaOpenAI · score 81.8 176 ms
- gemini-3.5-flash-liteGoogle · score 72.8 178 ms
- claude-opus-4-5-20251101Anthropic · score 77.0 179 ms
- claude-haiku-4-5-20251001Anthropic · score 63.9 181 ms
- gpt-5.6-lunaOpenAI · score 80.8 185 ms
- perceptron/perceptron-mk1.5via OpenRouter · score 57.0 186 ms
- claude-opus-4-7Anthropic · score 77.5 195 ms
- gemini-2.5-flash-liteGoogle · score 60.3 197 ms
- gemini-4-argonGoogle · score 79.7 199 ms
- ministral-14b-2512Mistral · score 63.7 214 ms
- qwen/qwen3-vl-8b-instructvia OpenRouter · score 58.8 222 ms
- meta/muse-wondervia OpenRouter · score 84.5 226 ms
- gpt-6.1-solOpenAI · score 87.5 226 ms
- claude-opus-5Anthropic · score 72.5 229 ms
- claude-sonnet-4-6Anthropic · score 75.2 233 ms
- mistral-medium-3.5Mistral · score 67.6 237 ms
- claude-sonnet-5Anthropic · score 42.9 243 ms
- claude-opus-4-6Anthropic · score 73.9 243 ms
- gemini-2.5-flashGoogle · score 71.3 250 ms
- claude-fable-5-1Anthropic · score 89.0 258 ms
- gpt-5.6-terraOpenAI · score 82.5 261 ms
- gpt-6-astraOpenAI · score 87.5 261 ms
- minimax/minimax-m3.1-flashvia OpenRouter · score 65.0 270 ms
- gemini-3.8-flashGoogle · score 85.6 277 ms
- meta/muse-spark-openvia OpenRouter · score 75.8 297 ms
- gpt-5.6-solOpenAI · score 86.8 317 ms
- gemini-3.1-pro-previewGoogle · score 78.8 370 ms
- meta/muse-spark-1.3via OpenRouter · score 83.8 375 ms
- claude-sonnet-4-5-20250929Anthropic · score 54.0 415 ms
- ministral-8b-2512Mistral · score 49.8 432 ms
- gemini-3.5-flashGoogle · score 80.8 442 ms
- gpt-5.5-2026-04-23OpenAI · score 87.0 461 ms
- gpt-5.2-2025-12-11OpenAI · score 72.7 480 ms
- qwen/qwen3-vl-30b-a3b-instructvia OpenRouter · score 61.9 528 ms
- mistral-large-2512Mistral · score 49.0 533 ms
- nvidia/nemotron-3.5-super-vlvia OpenRouter · score 74.0 539 ms
- deepseek-flashDeepSeek · score 82.9 545 ms
- gemini-3.6-flashGoogle · score 84.2 566 ms
- grok-4.5xAI · score 84.5 576 ms
- meta/muse-spark-1.2via OpenRouter · score 84.8 600 ms
- grok-4.20-0309-reasoningxAI · score 83.4 645 ms
- qwen/qwen3.5-122b-a10bvia OpenRouter · score 72.1 660 ms
- xiaomi/mimo-v2.6-flashvia OpenRouter · score 62.9 711 ms
- meta-llama/llama-4-maverickvia OpenRouter · score 62.7 735 ms
- elorian/glimpsevia OpenRouter · score 79.0 778 ms
- gemini-3-flash-previewGoogle · score 82.6 804 ms
- grok-4.3xAI · score 79.5 870 ms
- qwen/qwen3.7-plusvia OpenRouter · score 78.4 1019 ms
- Qwen/Qwen3-VL-235B-A22B-Instruct:deepinfravia Hugging Face · score 64.8 1096 ms
- google/gemma-4-26b-a4b-itvia OpenRouter · score 66.2 1140 ms
- thinkingmachines/Inkling:togethervia Hugging Face · score 34.1 1156 ms
- qwen/qwen3.8-max-primevia OpenRouter · score 74.3 1204 ms
- MiniMaxAI/MiniMax-M3:deepinfravia Hugging Face · score 58.6 1215 ms
- grok-4.6xAI · score 88.0 1218 ms
- qwen/qwen3.5-flash-02-23via OpenRouter · score 69.0 1272 ms
- meta-models/Muse-Glimmer-30B:togethervia Hugging Face · score 77.4 1320 ms
- stepfun/step-3.7-flashvia OpenRouter · score 72.7 1371 ms
- fireworks/ember-1via OpenRouter · score 79.5 1410 ms
- qwen/qwen3.5-plus-02-15via OpenRouter · score 75.3 1446 ms
- qwen/qwen3.6-plusvia OpenRouter · score 70.7 1447 ms
- swiss-ai/Apertus-v1.5-70B:publicaivia Hugging Face · score 37.6 1480 ms
- qwen/qwen3-vl-8b-thinkingvia OpenRouter · score 64.3 1506 ms
- stepfun/step-5-previewvia OpenRouter · score 68.2 1528 ms
- qwen/qwen3.5-27bvia OpenRouter · score 73.4 1685 ms
- qwen/qwen3.8-max-0902via OpenRouter · score 74.8 1822 ms
- z-ai/glm-5v-turbovia OpenRouter · score 50.5 2053 ms
- qwen/qwen3.5-35b-a3bvia OpenRouter · score 66.5 2112 ms
- google/gemma-4-31b-itvia OpenRouter · score 69.9 2183 ms
- xiaomi/mimo-v2.6-provia OpenRouter · score 61.8 2252 ms
- qwen/qwen3.8-flashvia OpenRouter · score 72.8 2263 ms
- z-ai/glm-5.3-flashvia OpenRouter · score 80.2 2310 ms
- moonshotai/kimi-k3via OpenRouter · score 87.7 2332 ms
- qwen/qwen3.5-397b-a17bvia OpenRouter · score 72.2 2394 ms
- meta-llama/llama-4-scoutvia OpenRouter · score 56.2 2412 ms
- grok-4.7xAI · score 84.3 2462 ms
- thinkingmachines/Inkling-Small:deepinfravia Hugging Face · score 64.4 2812 ms
- bytedance-seed/seed-2-1-turbovia OpenRouter · score 67.1 3900 ms
- swiss-ai/Apertus-v1.5-8B:publicaivia Hugging Face · score 25.6 3919 ms
- qwen/qwen3.8-27bvia OpenRouter · score 80.7 4064 ms
- nex-agi/nex-n2.5-minivia OpenRouter · score 47.6 6337 ms
- qwen/qwen3.5-9bvia OpenRouter · score 59.2 7473 ms
- nex-agi/nex-n2.5-provia OpenRouter · score 53.2 9372 ms
Cost per score pointMean cost per 1,000 documents, divided by the mean score, in dollars. Lower is more cost-efficient.
- google/gemma-4-31b-itvia OpenRouter · score 69.9 0.006 $
- google/gemma-4-26b-a4b-itvia OpenRouter · score 66.2 0.006 $
- ministral-3b-2512Mistral · score 51.0 0.008 $
- meta-llama/llama-4-scoutvia OpenRouter · score 56.2 0.009 $
- qwen/qwen3-vl-8b-instructvia OpenRouter · score 58.8 0.011 $
- ministral-14b-2512Mistral · score 63.7 0.012 $
- ministral-8b-2512Mistral · score 49.8 0.012 $
- claude-haiku-5-5Anthropic · score 67.5 0.013 $
- mistral-small-2603Mistral · score 59.6 0.015 $
- qwen/qwen3-vl-30b-a3b-instructvia OpenRouter · score 61.9 0.016 $
- z-ai/glm-5.3-flashvia OpenRouter · score 80.2 0.016 $
- gpt-6-lunaOpenAI · score 81.8 0.016 $
- minimax/minimax-m3.1-flashvia OpenRouter · score 65.0 0.017 $
- meta-llama/llama-4-maverickvia OpenRouter · score 62.7 0.018 $
- MiniMaxAI/MiniMax-M3:deepinfravia Hugging Face · score 58.6 0.018 $
- Qwen/Qwen3-VL-235B-A22B-Instruct:deepinfravia Hugging Face · score 64.8 0.021 $
- qwen/qwen3.5-flash-02-23via OpenRouter · score 69.0 0.023 $
- gemini-3.1-flash-liteGoogle · score 69.5 0.023 $
- gemini-2.5-flash-liteGoogle · score 60.3 0.024 $
- nex-agi/nex-n2.5-minivia OpenRouter · score 47.6 0.025 $
- perceptron/perceptron-mk1.5via OpenRouter · score 57.0 0.029 $
- qwen/qwen3.5-9bvia OpenRouter · score 59.2 0.032 $
- swiss-ai/Apertus-v1.5-8B:publicaivia Hugging Face · score 25.6 0.033 $
- gemini-3.5-flash-liteGoogle · score 72.8 0.039 $
- mistral-large-2512Mistral · score 49.0 0.045 $
- xiaomi/mimo-v2.6-flashvia OpenRouter · score 62.9 0.051 $
- nex-agi/nex-n2.5-provia OpenRouter · score 53.2 0.052 $
- nvidia/nemotron-3.5-super-vlvia OpenRouter · score 74.0 0.055 $
- qwen/qwen3.8-flashvia OpenRouter · score 72.8 0.069 $
- qwen/qwen3.7-plusvia OpenRouter · score 78.4 0.082 $
- qwen/qwen3.5-27bvia OpenRouter · score 73.4 0.090 $
- meta-models/Muse-Glimmer-30B:togethervia Hugging Face · score 77.4 0.095 $
- qwen/qwen3.5-122b-a10bvia OpenRouter · score 72.1 0.096 $
- xiaomi/mimo-v2.6-provia OpenRouter · score 61.8 0.098 $
- grok-4.3xAI · score 79.5 0.100 $
- gpt-5.6-lunaOpenAI · score 80.8 0.111 $
- qwen/qwen3.5-plus-02-15via OpenRouter · score 75.3 0.115 $
- thinkingmachines/Inkling-Small:deepinfravia Hugging Face · score 64.4 0.115 $
- gemini-3.7-flashGoogle · score 84.0 0.121 $
- gpt-5.1-2025-11-13OpenAI · score 70.1 0.128 $
- gemini-2.5-flashGoogle · score 71.3 0.129 $
- stepfun/step-3.7-flashvia OpenRouter · score 72.7 0.139 $
- qwen/qwen3.5-35b-a3bvia OpenRouter · score 66.5 0.147 $
- mistral-medium-3.5Mistral · score 67.6 0.148 $
- qwen/qwen3.6-plusvia OpenRouter · score 70.7 0.155 $
- deepseek-flashDeepSeek · score 82.9 0.156 $
- claude-haiku-4-5-20251001Anthropic · score 63.9 0.160 $
- gpt-5.3-codexOpenAI · score 81.7 0.161 $
- gemini-4-argonGoogle · score 79.7 0.165 $
- meta/muse-spark-openvia OpenRouter · score 75.8 0.184 $
- qwen/qwen3.8-27bvia OpenRouter · score 80.7 0.190 $
- gpt-5.2-2025-12-11OpenAI · score 72.7 0.201 $
- swiss-ai/Apertus-v1.5-70B:publicaivia Hugging Face · score 37.6 0.218 $
- gpt-6-solOpenAI · score 86.3 0.221 $
- gpt-5.4-2026-03-05OpenAI · score 80.2 0.223 $
- qwen/qwen3.5-397b-a17bvia OpenRouter · score 72.2 0.224 $
- gpt-6.1-solOpenAI · score 87.5 0.226 $
- grok-4.20-0309-reasoningxAI · score 83.4 0.231 $
- meta/muse-spark-1.2via OpenRouter · score 84.8 0.232 $
- claude-sonnet-5-5Anthropic · score 86.9 0.246 $
- meta/muse-spark-1.3via OpenRouter · score 83.8 0.255 $
- z-ai/glm-5v-turbovia OpenRouter · score 50.5 0.279 $
- grok-4.5xAI · score 84.5 0.279 $
- qwen/qwen3-vl-8b-thinkingvia OpenRouter · score 64.3 0.285 $
- gpt-5.6-terraOpenAI · score 82.5 0.295 $
- claude-sonnet-4-6Anthropic · score 75.2 0.295 $
- thinkingmachines/Inkling:togethervia Hugging Face · score 34.1 0.302 $
- gemini-3.6-flashGoogle · score 84.2 0.309 $
- gemini-3.8-flashGoogle · score 85.6 0.315 $
- elorian/glimpsevia OpenRouter · score 79.0 0.337 $
- stepfun/step-5-previewvia OpenRouter · score 68.2 0.396 $
- claude-sonnet-4-5-20250929Anthropic · score 54.0 0.405 $
- claude-sonnet-5Anthropic · score 42.9 0.442 $
- claude-opus-4-5-20251101Anthropic · score 77.0 0.454 $
- claude-opus-5-5Anthropic · score 89.8 0.473 $
- grok-4.6xAI · score 88.0 0.503 $
- claude-opus-4-6Anthropic · score 73.9 0.511 $
- gemini-3-flash-previewGoogle · score 82.6 0.535 $
- bytedance-seed/seed-2-1-turbovia OpenRouter · score 67.1 0.588 $
- claude-opus-4-8Anthropic · score 82.2 0.588 $
- qwen/qwen3.8-max-0902via OpenRouter · score 74.8 0.592 $
- claude-opus-4-7Anthropic · score 77.5 0.630 $
- gemini-3.1-pro-previewGoogle · score 78.8 0.633 $
- claude-opus-5Anthropic · score 72.5 0.656 $
- gpt-5.6-solOpenAI · score 86.8 0.718 $
- meta/muse-wondervia OpenRouter · score 84.5 0.774 $
- gpt-5.5-2026-04-23OpenAI · score 87.0 1.081 $
- gemini-3.5-flashGoogle · score 80.8 1.092 $
- claude-fable-5Anthropic · score 88.1 1.092 $
- gpt-6-astraOpenAI · score 87.5 1.141 $
- qwen/qwen3.8-max-primevia OpenRouter · score 74.3 1.166 $
- grok-4.7xAI · score 84.3 1.216 $
- fireworks/ember-1via OpenRouter · score 79.5 1.442 $
- claude-fable-5-1Anthropic · score 89.0 1.443 $
- moonshotai/kimi-k3via OpenRouter · score 87.7 1.518 $