Qwen3 Coder Next Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 256k ~384 A4 pages of size 12 Arial font |
| Total parameters | 79.7B |
| Active parameters | 3B Number of parameters active per token during inference |
| License | Apache 2.0 |
| Model weights | Hugging Face |
Qwen3 Coder Next is amongst the leading models in intelligence, but somewhat expensive when comparing to other open weight non-reasoning models of similar size. It's also notably fast, however very verbose. The model supports text input, outputs text, and has a 256k tokens context window.
Qwen3 Coder Next scores 28 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 13). When evaluating the Intelligence Index, it generated 26M tokens, which is very verbose in comparison to the average of 3.8M.
Pricing for Qwen3 Coder Next is $0.35 per 1M input tokens (somewhat expensive, average: $0.20) and $1.20 per 1M output tokens (somewhat expensive, average: $0.56). In total, it cost $124.54 to evaluate Qwen3 Coder Next on the Intelligence Index.
At 145 tokens per second, Qwen3 Coder Next is notably fast (64).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Qwen3 Coder Next API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Comparisons to Qwen3 Coder Next
Qwen3 Coder Next
GPT-5.4 (xhigh)
gpt-oss-20B (high)
gpt-oss-120B (high)
GPT-5.4 Pro (xhigh)
GPT-5.2 (xhigh)
GPT-5.3 Codex (xhigh)
Llama 4 Maverick
Gemini 3.1 Pro Preview
Gemini 3.1 Flash-Lite Preview
Gemini 3 Flash
Claude 4.5 Haiku
Claude Opus 4.6 (max)
Claude Sonnet 4.6 (max)
Mistral Large 3DeepSeek V3.2
Grok 4.20 Beta 0309
Grok 4.1 Fast
Nova 2.0 Pro Preview (medium)
MiniMax-M2.5
NVIDIA Nemotron 3 Super
NVIDIA Nemotron 3 Nano
Kimi K2.5
K-EXAONEMiMo-V2-Flash (Feb 2026)
K2 Think V2
Mi:dm K 2.5 ProGLM-5
Qwen3.5 397B A17B
Frequently Asked Questions
Common questions about Qwen3 Coder Next
Qwen3 Coder Next was released on February 3, 2026.
Qwen3 Coder Next was created by Alibaba.
Qwen3 Coder Next scores 28 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight non-reasoning models of similar size (median: 13).
Qwen3 Coder Next generates output at 145.4 tokens per second (based on the median across providers serving the model), which is well above average compared to other open weight non-reasoning models of similar size (median: 64.1 t/s).
Qwen3 Coder Next has a time to first token (TTFT) of 1.41s (based on the median across providers serving the model), which is better than average compared to other open weight non-reasoning models of similar size (median: 1.48s).
Qwen3 Coder Next costs $0.35 per 1M input tokens (better than average, median: $0.52) and $1.20 per 1M output tokens (somewhat higher than average, median: $0.81), based on the median across providers serving the model.
Qwen3 Coder Next costs $0.35 per 1M input tokens and $1.20 per 1M output tokens (based on the median across providers serving the model). For a blended rate (3:1 input to output ratio), this is $0.60 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Qwen3 Coder Next generated 26M output tokens, which is at the higher end compared to other open weight non-reasoning models of similar size (median: 3.8M).
No, Qwen3 Coder Next is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Qwen3 Coder Next supports text input.
Qwen3 Coder Next supports text output.
No, Qwen3 Coder Next does not support image input. It can only process text.
No, Qwen3 Coder Next is not multimodal. It only supports text input.
Qwen3 Coder Next has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Qwen3 Coder Next is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Qwen3 Coder Next has 79.7 billion parameters (3 billion active).
Qwen3 Coder Next is a Mixture of Experts (MoE) model with 79.7 billion total parameters, but only 3 billion active parameters are used during inference.
Qwen3 Coder Next is released under the Apache 2.0 license. This license allows commercial use. View license
Qwen3 Coder Next achieves a score of 28 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Qwen3 Coder Next is available via API through 4 providers. Compare API providers
Qwen3 Coder Next is available through 4 API providers. Compare providers