PRICE~moonshotai/kimi-latest cached_input_per_mtok decreased from 0.80 to 0.296mPRICE~moonshotai/kimi-latest output_per_mtok decreased from 13.00 to 11.366mPRICE~moonshotai/kimi-latest input_per_mtok decreased from 0.99 to 0.756mPRICE~deepseek/deepseek-pro-latest cached_input_per_mtok increased from 0.0042 to 0.106mPRICE~deepseek/deepseek-pro-latest output_per_mtok increased from 0.40 to 4.206mPRICE~deepseek/deepseek-pro-latest input_per_mtok decreased from 0.13 to 0.136mPRICE~moonshotai/kimi-latest cached_input_per_mtok increased from 0.29 to 0.8037mPRICE~moonshotai/kimi-latest output_per_mtok increased from 11.36 to 13.0037mPRICE~moonshotai/kimi-latest input_per_mtok increased from 0.75 to 0.9937mPERFORMANCEGLM-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

Qwen3-235B

8 providers · 235B MoE · 128k context · 3 regions · all models →

Qwen3-235B provider ranking

#ProviderΔ30d
01ScalewayBEST OVERALLEU RESIDENT● MEASUREDFR · Serverless · Qwen3-235B100.0%100.0%100.0%1628375.1s81P33↓ 0.1
02OpenRouterBEST VALUE● MEASUREDUS · Routed · Qwen3-235B100.0%100.0%100.0%76630277.6s59P100↑ 1.2
03CortecsEU RESIDENTEU OWNED● MEASUREDAT · Routed · Qwen3-235B99.5%98.0%100.0%93756138.6s52P67↓ 1.0
3 of 8 providers ranked · · Methodology →
01Scaleway99.0
Best overallFR · Serverless · Qwen3-235B
TTFT162 ms
Rel.100.0%
Tok/s81
$ Out$2.58
Tools100.0%
Δ30d-0.1
View dossier
Best valueUS · Routed · Qwen3-235B
TTFT766 ms
Rel.100.0%
Tok/s59
$ Out$0.35
Tools100.0%
Δ30d+1.2
View dossier
03Cortecs82.3
AT · Routed · Qwen3-235B
TTFT937 ms
Rel.99.5%
Tok/s52
$ Out$0.47
Tools98.0%
Δ30d-1.0
View dossier
3 of 8 providers ranked · · Methodology →
Qwen3-235B inference benchmark: fastest & cheapest providers · InferenceBench