aiticker

Qwen · Released Feb 16, 2026

Qwen3.5 397B A17B

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...

ReasoningOpen weightsVision
  • Top 43%OTIS Mock AIME
  • Top 45%GPQA Diamond
  • Top 48%LMCA
Compare in showdown → OpenRouter ↗ All Qwen models
Released
Feb 16 2026
Context window
262K 236K out
Input / 1M tokens
$0.50 from Free
Output / 1M tokens
$3.60 from Free

Where to run it

43 providers compared

Free to try on UnoRouter — free endpoints are often limited-time and rate-limited. Cheapest: AIHubMix at $0.16 / $0.99 per 1M input / output tokens — 88% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
UnoRouterfree · may be limited-time Free Free —262K66K— Free
AIHubMix $0.16 $0.99 —262K66K— Cheapest
Merge Gateway $0.17 $1.03 $0.034131K33K— +5%
OrcaRouter $0.17 $1.03 —262K66K— +5%
EmpirioLabs AI $0.17 $1.03 $0.17256K64K— +5%
Alibaba (China) $0.17 $1.03 —262K66K— +5%
Qiniu $0.17 $1.04 —256K64K— +6%
SiliconFlow (China) $0.29 $1.74 —262K66K— +77%
Alibaba $0.39 $2.34 —262K66K100%24h +137%
Kilo Gateway $0.39 $2.34 —262K236K— +137%
SiliconFlow $0.39 $2.34 —262K262K— +137%
TokenGo $0.40 $2.65 $0.20262K66K— +160%
DeepInfraFP8 $0.45 $3.00 $0.22262K82K99.7%24h +194%
Chutes $0.45 $3.00 $0.045262K66K— +194%
NEAR AI Cloud $0.50 $3.30 $0.25262K66K— +225%
ParasailFP8 $0.50 $3.60 $0.30262K236K99.6%24h +245%
AtlasCloudFP8 $0.55 $3.50 $0.55262K66K100%24h +248%
Phala $0.55 $3.50 $0.23262K236K99.3%24h +248%
DigitalOcean $0.55 $3.50 $0.11131K118K84.8%24h +248%
NanoGPTno tool calling $0.55 $3.50 $0.28262K66K— +248%
Ofox $0.55 $3.50 $0.55256K64K— +248%
GMICloudFP8 $0.60 $3.60 —262K236K100%24h +265%
Novita $0.60 $3.60 —262K66K100%24h +265%
StreamLakeno tool calling $0.60 $3.60 $0.12256K64K99.2%24h +265%
Cloudflare AI Gateway $0.60 $3.60 —262K66K— +265%
LLM Gateway $0.60 $3.60 —262K64K— +265%
Nebius Token Factory $0.60 $3.60 $0.60262K8K— +265%
LLMTR $0.60 $3.60 —256K66K— +265%
Together AI $0.60 $3.60 $0.35262K130K— +265%
Mixlayer $0.60 $3.60 —262K262K— +265%
Jalapeno Cloud $0.60 $3.60 —262K66K— +265%
Novita AI $0.60 $3.60 —262K66K— +265%
DevPass (LLM Gateway) $0.60 $3.60 —262K66K— +265%
Hugging Face $0.60 $3.60 —262K33K— +265%
Ollama Cloud $0.60 $3.60 —262K66K— +265%
Cortecs $0.67 $4.01 —262K262K— +307%
Scaleway $0.67 $4.04 —256K16K— +310%
OVHcloud AI Endpoints $0.71 $4.25 —262K262K— +332%
Venice $0.75 $4.50 —128K33K87.1%24h +357%
Venice AI $0.75 $4.50 —128K33K— +357%
GreenPT $0.80 $4.96 —262K16K— +397%
Infomaniak $0.99 $4.46 —200K66K— +403%
Thinking Machines $1.65 $7.50 $0.33262K262K— +742%

Value

Price vs. performance

15 models score higher for the same price or lesson GPQA Diamond, e.g. DeepSeek V4.1 Flash 1017.
23.2%47.6%72.0%96.4% $0.001$0.01$0.10$1.00$10.00$100.00 DeepSeek V4.1 Flash 1017 (DeepSeek) — 93.2% · $0.15/1M in Gemini 4 Argon (Google) — 96.4% · $2.00/1M in Claude Haiku 5.5 (Anthropic) — 89.6% · $0.10/1M in Mistral Large 4 (Mistral) — 88.1% · $1.36/1M in GPT-6.1 Sol (OpenAI) — 95.4% · $2.00/1M in Claude Sonnet 5.5 (Anthropic) — 95.6% · $2.00/1M in GPT-6 Luna (OpenAI) — 90.5% · $0.10/1M in GPT-6 Sol (OpenAI) — 94.3% · $2.00/1M in Claude Opus 5.5 (Anthropic) — 90.6% · $4.00/1M in Grok 4.7 (xAI) — 92.7% · $2.00/1M in DeepSeek V4.1 Flash (DeepSeek) — 93.2% · $0.30/1M in GPT-6 Astra (OpenAI) — 95.8% · $10.00/1M in Gemini 3.8 Flash (Google) — 95.4% · $0.82/1M in GLM 5.3 Flash (Z.ai) — 90.1% · $0.005/1M in GLM 5.3 (Z.ai) — 90.9% · $0.079/1M in Gemini 3.7 Flash (Google) — 94.8% · $0.75/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 91.7% · $0.66/1M in Grok 4.6 (xAI) — 94.0% · $2.00/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 91.0% · $0.44/1M in Claude Opus 5 (Anthropic) — 93.9% · $5.00/1M in Gemini 3.6 Flash (Google) — 94.1% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 83.3% · $0.30/1M in Kimi K3 (Moonshot AI) — 93.1% · $0.24/1M in GPT-5.6 Luna (OpenAI) — 91.6% · $0.20/1M in GPT-5.6 Terra (OpenAI) — 93.3% · $2.00/1M in GPT-5.6 Sol (OpenAI) — 93.5% · $4.00/1M in Grok 4.5 (xAI) — 93.4% · $2.00/1M in Claude Sonnet 5 (Anthropic) — 90.5% · $2.00/1M in GLM 5.2 (Z.ai) — 91.9% · $0.034/1M in Kimi K2.7 Code (Moonshot AI) — 87.9% · $0.67/1M in Claude Fable 5 (Anthropic) — 85.9% · $10.00/1M in MiniMax M3 (MiniMax) — 90.9% · $0.30/1M in Claude Opus 4.8 (Anthropic) — 91.0% · $5.00/1M in Gemini 3.5 Flash (Google) — 92.8% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 81.8% · $0.25/1M in Grok 4.3 (xAI) — 88.8% · $1.25/1M in GPT-5.5 (OpenAI) — 90.7% · $5.00/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 91.7% · $0.95/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 91.0% · $0.091/1M in Kimi K2.6 (Moonshot AI) — 90.8% · $0.65/1M in Claude Opus 4.7 (Anthropic) — 90.1% · $5.00/1M in GLM 5.1 (Z.ai) — 89.9% · $1.40/1M in Gemma 4 26B A4B (Google) — 73.2% · $0.09/1M in Gemma 4 31B (Google) — 75.8% · $0.20/1M in GPT-5.4 Nano (OpenAI) — 78.5% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 86.9% · $0.75/1M in Mistral Small 4 (Mistral) — 47.5% · $0.15/1M in GPT-5.4 Pro (OpenAI) — 94.6% · $30.00/1M in GPT-5.4 (OpenAI) — 93.3% · $2.50/1M in Gemini 3.1 Flash Lite Preview (Google) — 81.8% · $0.25/1M in Gemini 3.1 Pro Preview (Google) — 94.4% · $2.00/1M in Claude Sonnet 4.6 (Anthropic) — 87.4% · $3.00/1M in GLM 5 (Z.ai) — 87.8% · $1.00/1M in Claude Opus 4.6 (Anthropic) — 90.5% · $5.00/1M in GLM 4.7 Flash (Z.ai) — 60.5% · $0.061/1M in GLM 4.7 (Z.ai) — 83.3% · $0.54/1M in Gemini 3 Flash Preview (Google) — 89.4% · $0.50/1M in GPT-5.2 (OpenAI) — 91.4% · $1.75/1M in Ministral 3 8B 2512 (Mistral) — 27.2% · $0.15/1M in Ministral 3 3B 2512 (Mistral) — 25.3% · $0.10/1M in Mistral Large 3 2512 (Mistral) — 51.3% · $0.50/1M in Claude Opus 4.5 (Anthropic) — 86.1% · $5.00/1M in GPT-5.1 (OpenAI) — 87.6% · $1.25/1M in Claude Haiku 4.5 (Anthropic) — 71.2% · $1.00/1M in Claude Sonnet 4.5 (Anthropic) — 82.3% · $3.00/1M in GPT-5 (OpenAI) — 86.2% · $1.25/1M in GPT-5 Mini (OpenAI) — 75.0% · $0.25/1M in GPT-5 Nano (OpenAI) — 69.4% · $0.05/1M in gpt-oss-120b (OpenAI) — 75.8% · $0.15/1M in gpt-oss-20b (OpenAI) — 60.8% · $0.018/1M in Claude Opus 4.1 (Anthropic) — 77.3% · $15.00/1M in Gemini 2.5 Pro (Google) — 85.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 85.3% · $1.25/1M in R1 0528 (DeepSeek) — 76.3% · $0.50/1M in o3 (OpenAI) — 81.8% · $2.00/1M in o4 Mini (OpenAI) — 79.6% · $1.10/1M in GPT-4.1 (OpenAI) — 66.9% · $2.00/1M in GPT-4.1 Mini (OpenAI) — 65.8% · $0.40/1M in GPT-4.1 Nano (OpenAI) — 48.9% · $0.10/1M in Gemma 3 4B (Google) — 23.2% · $0.04/1M in Gemma 3 12B (Google) — 39.5% · $0.05/1M in Gemma 3 27B (Google) — 47.7% · $0.08/1M in o3 Mini (OpenAI) — 77.0% · $1.10/1M in Phi 4 (Microsoft) — 56.1% · $0.07/1M in DeepSeek V3 (DeepSeek) — 71.2% · $0.26/1M in o1 (OpenAI) — 76.8% · $15.00/1M in Llama 3.3 70B Instruct (Meta) — 47.4% · $0.10/1M in GPT-4o (2024-11-20) (OpenAI) — 49.2% · $2.50/1M in Mistral Large 2407 (Mistral) — 51.3% · $2.00/1M in Llama 3.2 1B Instruct (Meta) — 23.9% · $0.027/1M in GPT-4o (2024-08-06) (OpenAI) — 49.2% · $2.50/1M in Llama 3.1 70B Instruct (Meta) — 44.2% · $0.40/1M in Llama 3.1 8B Instruct (Meta) — 27.0% · $0.05/1M in GPT-4o-mini (OpenAI) — 37.7% · $0.15/1M in GPT-4o-mini (2024-07-18) (OpenAI) — 37.7% · $0.15/1M in Gemma 2 27B (Google) — 36.5% · $0.65/1M in GPT-4o (OpenAI) — 49.2% · $2.50/1M in GPT-4o (2024-05-13) (OpenAI) — 49.2% · $5.00/1M in GPT-4 Turbo (OpenAI) — 46.6% · $10.00/1M in Mistral Large (Mistral) — 51.3% · $2.00/1M in GPT-3.5 Turbo (older v0613) (OpenAI) — 28.0% · $1.00/1M in GPT-3.5 Turbo (OpenAI) — 28.0% · $0.50/1M in GPT-4 (OpenAI) — 35.7% · $30.00/1M in Qwen3.8 Max (0902) (Qwen) — 92.7% · $2.00/1M in Qwen3.7 Flash (Qwen) — 82.3% · $0.03/1M in Qwen3.7 Plus (Qwen) — 87.9% · $0.32/1M in Qwen3.7 Max (Qwen) — 90.9% · $1.48/1M in Qwen3.5 Plus 2026-04-20 (Qwen) — 84.9% · $0.30/1M in Qwen3.6 Flash (Qwen) — 83.3% · $0.19/1M in Qwen3.6 35B A3B (Qwen) — 84.9% · $0.10/1M in Qwen3.6 27B (Qwen) — 85.9% · $0.25/1M in Qwen3.6 Plus (Qwen) — 88.4% · $0.33/1M in Qwen3.5-9B (Qwen) — 79.0% · $0.08/1M in Qwen3.5-35B-A3B (Qwen) — 83.5% · $0.14/1M in Qwen3 30B A3B Instruct 2507 (Qwen) — 55.6% · $0.09/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 80.0% · $0.45/1M in Qwen3 235B A22B Instruct 2507 (Qwen) — 70.7% · $0.09/1M in Qwen3 30B A3B (Qwen) — 61.7% · $0.12/1M in Qwen3 14B (Qwen) — 63.8% · $0.12/1M in Qwen3 32B (Qwen) — 65.7% · $0.08/1M in Qwen-Plus (Qwen) — 48.1% · $0.26/1M in Qwen3.5 397B A17B (Qwen) — 86.4% · $0.50/1M in Qwen3.5 397B A17B

Qwen3.5 397B A17B Other Qwen Other labs Value frontier · GPQA Diamond vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

5 benchmark scores

BenchmarkScoreRankLeader
APEX-AgentsAgents & computer use · Long professional tasks in banking, consulting and law 24.9% #48of 51 Gemini 4 Argon82.4%
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 86.4% #54of 122 Gemini 4 Argon96.4%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 37.9% #58of 123 Claude Sonnet 5.568.3%
FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) 31.2% #63of 87 GPT-6.1 Sol93.7%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 88.9% #51of 120 Gemini 4 Argon100.0%

Specs

Details

Model ID
qwen/qwen3.5-397b-a17b
Developer
Qwen
Release date
Feb 16, 2026 ·
Context window
262,144 tokens
Max output
235,929 tokens
API price
$0.50 / $3.60 per 1M input / output tokens
Providers
43
Input types
text, image, video
Reasoning
Yes
Tool calling
Yes
Open weights
Yes
Free tier
No

Release date and prices from OpenRouter's catalog; providers from OpenRouter and models.dev. Buying directly from a provider can cost a little differently. Speed, latency and uptime are measured on OpenRouter only; uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.