PRICE~moonshotai/kimi-latest cached_input_per_mtok decreased from 0.80 to 0.293mPRICE~moonshotai/kimi-latest output_per_mtok decreased from 13.00 to 11.363mPRICE~moonshotai/kimi-latest input_per_mtok decreased from 0.99 to 0.753mPRICE~deepseek/deepseek-pro-latest cached_input_per_mtok increased from 0.0042 to 0.103mPRICE~deepseek/deepseek-pro-latest output_per_mtok increased from 0.40 to 4.203mPRICE~deepseek/deepseek-pro-latest input_per_mtok decreased from 0.13 to 0.133mPRICE~moonshotai/kimi-latest cached_input_per_mtok increased from 0.29 to 0.8034mPRICE~moonshotai/kimi-latest output_per_mtok increased from 11.36 to 13.0034mPRICE~moonshotai/kimi-latest input_per_mtok increased from 0.75 to 0.9934mPERFORMANCEGLM-5.2 → Scaleway: TTFT ↑ 20%1hPERFORMANCEDeepSeek V4 Flash → Scaleway: TTFT ↑ 35%1hPERFORMANCEMistral Medium 3.5 → Scaleway: TTFT ↓ 21%1hPERFORMANCEDeepSeek V4 Flash → Scaleway: throughput ↓ 20%1hPERFORMANCEGPT-OSS 120B → Scaleway: throughput ↑ 31%1hPERFORMANCEGPT-OSS 120B → Scaleway: TTFT ↓ 24%1hPERFORMANCEGPT-OSS 120B → Together AI: throughput ↑ 20%1hPERFORMANCEKimi K3 via OpenRouter: TTFT ↓ 49%1hPERFORMANCEGLM-5.2 via OpenRouter: reliability recovered 96.8% → 100.0%1hPERFORMANCEKimi K3 via Cortecs: throughput ↑ 184%1hPERFORMANCEKimi K3 via Cortecs: TTFT ↓ 42%1hPERFORMANCEGLM-5.2 via OpenRouter: throughput ↓ 49%1hPERFORMANCEGLM-5.2 via OpenRouter: TTFT ↑ 121%1hPERFORMANCEMiniMax M3 via OpenRouter: reliability recovered 96.8% → 100.0%1hPERFORMANCEDeepSeek V4 Pro via Cortecs: throughput ↑ 27%1hPERFORMANCEGPT-OSS 120B via OpenRouter: throughput ↓ 22%1hPERFORMANCEGLM-4.7 via OpenRouter: TTFT ↓ 78%1hPERFORMANCEGPT-OSS 20B → Groq: TTFT ↑ 24%1hPERFORMANCEKimi K3 → Together AI: TTFT ↓ 34%1hPERFORMANCEDeepSeek V4 Flash via OpenRouter: throughput ↓ 17%1hPERFORMANCELlama 3.3 70B via Cortecs: TTFT ↓ 51%1hPERFORMANCEQwen3 235B via OpenRouter: throughput ↑ 37%1hPERFORMANCEQwen3 235B via OpenRouter: TTFT ↓ 29%1hPERFORMANCEDeepSeek V4 Flash → Together AI: throughput ↑ 19%1hPERFORMANCEGLM-5.3 via OpenRouter: throughput ↓ 17%1hPERFORMANCEGPT-OSS 20B via Cortecs: throughput ↑ 28%1hPERFORMANCELlama 3.3 70B → Together AI: TTFT ↓ 33%1hPRICE~moonshotai/kimi-latest cached_input_per_mtok decreased from 0.80 to 0.291hPRICE~moonshotai/kimi-latest output_per_mtok decreased from 13.00 to 11.361hPRICE~moonshotai/kimi-latest input_per_mtok decreased from 0.99 to 0.751hPRICE~deepseek/deepseek-v4-flash-latest cached_input_per_mtok decreased from 0.0077 to 0.00111h

Mistral Large 3

3 providers · 675B MoE · 256k context · 2 regions · all models →

Mistral Large 3 provider ranking

#1 OverallOpenRouter100.0FastestOpenRouter5.33 sBest valueOpenRouterEurope #1Cortecs97.6Best toolsCortecs100.0%Best structuredOpenRouter99.0%
#ProviderΔ30d
01OpenRouterBEST OVERALL● MEASUREDUS · Routed · Mistral Large 3100.0%——406—5.3s81P100↑ 5.6
02CortecsBEST TOOLSEU RESIDENT● MEASUREDAT · Routed · Mistral Large 3100.0%100.0%85.7%4137395.4s80P33↑ 0.8
03MistralEU RESIDENTEU OWNED● MEASUREDFR · Serverless · Mistral Large 3100.0%100.0%83.3%38915855.9s73P67—
3 of 3 providers ranked · Methodology →
01OpenRouter100.0
Best overallUS · Routed · Mistral Large 3
TTFT406 ms
Rel.100.0%
Tok/s81
$ Out$1.50
Tools—
Δ30d+5.6
View dossier
02Cortecs97.6
Best toolsAT · Routed · Mistral Large 3
TTFT413 ms
Rel.100.0%
Tok/s80
$ Out$1.89
Tools100.0%
Δ30d+0.8
View dossier
03Mistral87.9
FR · Serverless · Mistral Large 3
TTFT389 ms
Rel.100.0%
Tok/s73
$ Out$1.50
Tools100.0%
Δ30d—
View dossier
3 of 3 providers ranked · Methodology →
Mistral Large 3 inference benchmark: fastest & cheapest providers · InferenceBench