Qwen · Released Feb 4, 2026

Qwen3 Coder Next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...

Open weights
Released
Feb 4 2026
Context window
262K 236K out
Input / 1M tokens
$0.12 from Free
Output / 1M tokens
$0.80 from Free

Where to run it

20 providers compared

Free to try on InferX — free endpoints are often limited-time and rate-limited. Included in Alibaba Coding Plan (China), Alibaba Coding Plan. Cheapest: LLM Gateway, DevPass (LLM Gateway) at $0.11 / $0.68 per 1M input / output tokens — 75% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
InferXfree · may be limited-time Free Free —260K66K— Free
Alibaba Coding Plan (China)subscription plan Plan Plan Plan262K66K— Plan
Alibaba Coding Plansubscription plan Plan Plan Plan262K66K— Plan
LLM Gateway $0.11 $0.68 $0.06262K262K— Cheapest
DevPass (LLM Gateway) $0.11 $0.68 $0.06262K66K— Cheapest
ParasailBF16 $0.12 $0.80 $0.07262K236K100%24h +16%
Kilo Gateway $0.12 $0.80 $0.07262K236K— +16%
Merge Gatewayno tool calling $0.15 $0.80 $0.075262K66K— +25%
Cortecs $0.17 $0.89 —256K256K— +39%
Eden AI $0.17 $0.90 —128K66K— +41%
NanoGPT $0.25 $0.80 $0.08262K66K— +55%
Regolo AI $0.30 $1.20 —262K16K— +110%
Jiekou.AI $0.20 $1.50 —262K66K— +110%
Hugging Face $0.20 $1.50 —262K66K— +110%
Ofox $0.20 $1.50 —262K66K— +110%
Prime Inference $0.30 $1.50 —262K236K— +140%
Vercel AI Gateway $0.50 $1.20 —256K256K— +170%
Together AI $0.50 $1.20 —262K262K— +170%
Amazon Bedrock $0.50 $1.20 —262K66K— +170%
Opper $0.58 $2.32 —262K66K— +307%

Value

Price vs. performance

10 models score higher for the same price or lesson SciCode, e.g. GLM 5.3.
13.2%31.1%49.0%66.9% $0.001$0.01$0.10$1.00$10.00 DeepSeek V4.1 Flash 1017 (DeepSeek) — 51.8% · $0.15/1M in Gemini 4 Argon (Google) — 61.8% · $2.00/1M in Step 5 Preview (StepFun) — 58.9% · $1.00/1M in Claude Haiku 5.5 (Anthropic) — 55.0% · $0.10/1M in Mistral Large 4 (Mistral) — 54.2% · $1.36/1M in GPT-6.1 Sol (OpenAI) — 55.8% · $2.00/1M in Claude Sonnet 5.5 (Anthropic) — 61.0% · $2.00/1M in GPT-6 Luna (OpenAI) — 54.6% · $0.10/1M in GPT-6 Sol (OpenAI) — 57.6% · $2.00/1M in Claude Opus 5.5 (Anthropic) — 66.9% · $4.00/1M in MiMo-V2.6-Flash (Xiaomi) — 51.3% · $0.14/1M in MiMo-V2.6-Pro (Xiaomi) — 60.9% · $0.43/1M in Grok 4.7 (xAI) — 57.8% · $2.00/1M in DeepSeek V4.1 Flash (DeepSeek) — 51.8% · $0.30/1M in GPT-6 Astra (OpenAI) — 56.5% · $10.00/1M in Muse Spark 1.3 (Meta) — 59.7% · $1.25/1M in Gemini 3.8 Flash (Google) — 56.6% · $0.82/1M in Claude Fable 5.1 (Anthropic) — 63.1% · $10.00/1M in GLM 5.3 Flash (Z.ai) — 51.6% · $0.005/1M in GLM 5.3 (Z.ai) — 59.0% · $0.079/1M in Gemini 3.7 Flash (Google) — 59.8% · $0.75/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 51.0% · $0.66/1M in Grok 4.6 (xAI) — 56.5% · $2.00/1M in Muse Spark 1.2 (Meta) — 57.4% · $1.25/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 49.9% · $0.44/1M in Claude Opus 5 (Anthropic) — 56.4% · $5.00/1M in Gemini 3.6 Flash (Google) — 53.4% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 41.3% · $0.30/1M in Kimi K3 (Moonshot AI) — 59.5% · $0.24/1M in Muse Spark 1.1 (Meta) — 58.8% · $1.25/1M in GPT-5.6 Luna (OpenAI) — 53.6% · $0.20/1M in GPT-5.6 Terra (OpenAI) — 55.0% · $2.00/1M in GPT-5.6 Sol (OpenAI) — 57.8% · $4.00/1M in Grok 4.5 (xAI) — 55.0% · $2.00/1M in Claude Sonnet 5 (Anthropic) — 54.3% · $2.00/1M in GLM 5.2 (Z.ai) — 51.2% · $0.034/1M in Kimi K2.7 Code (Moonshot AI) — 47.8% · $0.67/1M in Claude Fable 5 (Anthropic) — 61.0% · $10.00/1M in MiniMax M3 (MiniMax) — 47.1% · $0.30/1M in Step 3.7 Flash (StepFun) — 40.1% · $0.20/1M in Claude Opus 4.8 (Anthropic) — 53.5% · $5.00/1M in Grok Build 0.1 (xAI) — 50.2% · $1.00/1M in Gemini 3.5 Flash (Google) — 53.9% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 43.4% · $0.25/1M in Grok 4.3 (xAI) — 48.3% · $1.25/1M in GPT-5.5 (OpenAI) — 56.1% · $5.00/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 51.0% · $0.45/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 49.9% · $0.091/1M in MiMo-V2.5-Pro (Xiaomi) — 50.2% · $0.30/1M in MiMo-V2.5 (Xiaomi) — 43.1% · $0.12/1M in Kimi K2.6 (Moonshot AI) — 53.5% · $0.65/1M in Claude Opus 4.7 (Anthropic) — 54.5% · $5.00/1M in GLM 5.1 (Z.ai) — 44.8% · $1.40/1M in Gemma 4 31B (Google) — 45.5% · $0.20/1M in MiniMax M2.7 (MiniMax) — 50.1% · $0.30/1M in GPT-5.4 Nano (OpenAI) — 47.2% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 52.1% · $0.75/1M in Mistral Small 4 (Mistral) — 27.8% · $0.15/1M in GPT-5.4 (OpenAI) — 56.6% · $2.50/1M in Gemini 3.1 Flash Lite Preview (Google) — 43.4% · $0.25/1M in Gemini 3.1 Pro Preview (Google) — 58.7% · $2.00/1M in Claude Sonnet 4.6 (Anthropic) — 46.8% · $3.00/1M in Kimi K2.5 (Moonshot AI) — 49.0% · $0.50/1M in GLM 4.7 (Z.ai) — 45.1% · $0.54/1M in Mistral Large 3 2512 (Mistral) — 36.6% · $0.50/1M in DeepSeek V3.2 (DeepSeek) — 38.9% · $0.28/1M in GPT-5.1 (OpenAI) — 43.3% · $1.25/1M in Claude Haiku 4.5 (Anthropic) — 42.3% · $1.00/1M in GLM 4.6 (Z.ai) — 38.4% · $0.55/1M in Claude Sonnet 4.5 (Anthropic) — 45.7% · $3.00/1M in DeepSeek V3.2 Exp (DeepSeek) — 38.9% · $0.27/1M in DeepSeek V3.1 Terminus (DeepSeek) — 38.0% · $0.27/1M in GPT-5 (OpenAI) — 42.9% · $1.25/1M in GPT-5 Mini (OpenAI) — 39.2% · $0.25/1M in gpt-oss-120b (OpenAI) — 36.0% · $0.15/1M in gpt-oss-20b (OpenAI) — 38.9% · $0.018/1M in Gemini 2.5 Pro (Google) — 46.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 46.3% · $1.25/1M in R1 0528 (DeepSeek) — 38.3% · $0.50/1M in GPT-4.1 Mini (OpenAI) — 40.4% · $0.40/1M in GPT-4.1 Nano (OpenAI) — 25.9% · $0.10/1M in Gemma 3 12B (Google) — 16.4% · $0.05/1M in Gemma 3 27B (Google) — 23.3% · $0.08/1M in o3 Mini (OpenAI) — 42.8% · $1.10/1M in Llama 3.3 70B Instruct (Meta) — 26.0% · $0.10/1M in Mistral Large 2407 (Mistral) — 36.6% · $2.00/1M in Llama 3.1 8B Instruct (Meta) — 13.2% · $0.05/1M in Mistral Large (Mistral) — 36.6% · $2.00/1M in Qwen3.8 Max (0902) (Qwen) — 53.2% · $2.00/1M in Qwen3.8 27B (Qwen) — 46.6% · $0.04/1M in Qwen3.7 Plus (Qwen) — 46.1% · $0.32/1M in Qwen3.7 Max (Qwen) — 49.5% · $1.48/1M in Qwen3.6 35B A3B (Qwen) — 36.6% · $0.10/1M in Qwen3.6 27B (Qwen) — 37.3% · $0.25/1M in Qwen3.6 Plus (Qwen) — 40.7% · $0.33/1M in Qwen3.5-9B (Qwen) — 29.5% · $0.08/1M in Qwen3.5-35B-A3B (Qwen) — 29.3% · $0.14/1M in Qwen3.5-122B-A10B (Qwen) — 35.6% · $0.40/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 41.4% · $0.45/1M in Qwen3 14B (Qwen) — 31.6% · $0.12/1M in Qwen3 32B (Qwen) — 35.4% · $0.08/1M in Qwen3 Coder Next (Qwen) — 36.2% · $0.12/1M in Qwen3 Coder Next

Qwen3 Coder Next Other Qwen Other labs Value frontier · SciCode vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

2 benchmark scores

BenchmarkScoreRankLeader
SciCodeSoftware engineering · Research-coding problems from the natural sciences 36.2% #90of 102 Claude Opus 5.566.9%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 0.0% #92of 111 GPT-5.6 Sol32.3%

Specs

Details

Model ID
qwen/qwen3-coder-next
Developer
Qwen
Release date
Feb 4, 2026 ·
Context window
262,144 tokens
Max output
235,929 tokens
API price
$0.12 / $0.80 per 1M input / output tokens
Providers
20
Input types
text
Reasoning
No
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.