PRICE~moonshotai/kimi-latest cached_input_per_mtok increased from 0.29 to 0.808mPRICE~moonshotai/kimi-latest output_per_mtok increased from 11.36 to 13.008mPRICE~moonshotai/kimi-latest input_per_mtok increased from 0.75 to 0.988mPRICE~deepseek/deepseek-pro-latest input_per_mtok decreased from 0.13 to 0.1339mPRICE~deepseek/deepseek-pro-latest output_per_mtok increased from 0.40 to 4.2039mPRICE~deepseek/deepseek-pro-latest cached_input_per_mtok increased from 0.0042 to 0.1039mPRICE~moonshotai/kimi-latest input_per_mtok decreased from 0.99 to 0.7539mPRICE~moonshotai/kimi-latest output_per_mtok decreased from 13.00 to 11.3639mPRICE~moonshotai/kimi-latest cached_input_per_mtok decreased from 0.80 to 0.2939mPRICE~moonshotai/kimi-latest input_per_mtok increased from 0.75 to 0.991hPRICE~moonshotai/kimi-latest output_per_mtok increased from 11.36 to 13.001hPRICE~moonshotai/kimi-latest cached_input_per_mtok increased from 0.29 to 0.801hPERFORMANCEGLM-5.2 → Scaleway: TTFT ↑ 20%2hPERFORMANCEDeepSeek V4 Flash → Scaleway: TTFT ↑ 35%2hPERFORMANCEMistral Medium 3.5 → Scaleway: TTFT ↓ 21%2hPERFORMANCEDeepSeek V4 Flash → Scaleway: throughput ↓ 20%2hPERFORMANCEGPT-OSS 120B → Scaleway: throughput ↑ 31%2hPERFORMANCEGPT-OSS 120B → Scaleway: TTFT ↓ 24%2hPERFORMANCEGPT-OSS 120B → Together AI: throughput ↑ 20%2hPERFORMANCEKimi K3 via OpenRouter: TTFT ↓ 49%2hPERFORMANCEGLM-5.2 via OpenRouter: reliability recovered 96.8% → 100.0%2hPERFORMANCEKimi K3 via Cortecs: throughput ↑ 184%2hPERFORMANCEKimi K3 via Cortecs: TTFT ↓ 42%2hPERFORMANCEGLM-5.2 via OpenRouter: throughput ↓ 49%2hPERFORMANCEGLM-5.2 via OpenRouter: TTFT ↑ 121%2hPERFORMANCEMiniMax M3 via OpenRouter: reliability recovered 96.8% → 100.0%2hPERFORMANCEDeepSeek V4 Pro via Cortecs: throughput ↑ 27%2hPERFORMANCEGPT-OSS 120B via OpenRouter: throughput ↓ 22%2hPERFORMANCEGLM-4.7 via OpenRouter: TTFT ↓ 78%2hPERFORMANCEGPT-OSS 20B → Groq: TTFT ↑ 24%2hPERFORMANCEKimi K3 → Together AI: TTFT ↓ 34%2hPERFORMANCEDeepSeek V4 Flash via OpenRouter: throughput ↓ 17%2hPERFORMANCELlama 3.3 70B via Cortecs: TTFT ↓ 51%2hPERFORMANCEQwen3 235B via OpenRouter: throughput ↑ 37%2hPERFORMANCEQwen3 235B via OpenRouter: TTFT ↓ 29%2hPERFORMANCEDeepSeek V4 Flash → Together AI: throughput ↑ 19%2hPERFORMANCEGLM-5.3 via OpenRouter: throughput ↓ 17%2hPERFORMANCEGPT-OSS 20B via Cortecs: throughput ↑ 28%2hPERFORMANCELlama 3.3 70B → Together AI: TTFT ↓ 33%2hPRICEtencent/hy4-preview output_per_mtok increased from 2.25 to 2.502h

Mistral Medium 3.5

4 providers · 128B dense · 256k context · 2 regions · all models →

Mistral Medium 3.5 across 4 providers

Same model. Different infrastructure.
TTFT spread1.6×Throughput spread2.2×Output price1.1×Tool reliability0.0 pts
TTFT164 ms262 msbest: Scaleway
Throughput69 tok/s152 tok/sbest: OpenRouter
Output price$7.50/M$8.60/Mbest: OpenRouter
Reliability99.5%100.0%best: Mistral
Tool success100.0%100.0%best: Mistral

Mistral Medium 3.5 — tool-calling benchmark

4 providers · 100.0% → 100.0% · 0.0 pt spread
#ProviderToolsΔ bestRel.JSONTTFTP95Tok/s$ Out
01OpenRouter100.0%—100.0%100.0%262 ms449 ms152$7.50
02Cortecs100.0%−0.099.5%100.0%262 ms447 ms151$8.07
03Scaleway100.0%−0.0100.0%100.0%164 ms597 ms69$8.60
04Mistral100.0%−0.0100.0%100.0%224 ms433 ms145$7.50
Mistral Medium 3.5 inference benchmark: fastest & cheapest providers · InferenceBench