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...
Updated 37 min ago · first seen 11 Sept 2026
model_01M294WW5K3NS4WN903QP0G8KN
- Context
- 256K tokens
- T2 · 37 min ago
- Released
- 4 Feb 2026
- T2 · 2 h ago
Specification
- Release date
- 4 Feb 2026
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Openness
- open-weights
Source:Artificial AnalysisT2observed 37 min agomedium
- Context window
- 256K tokens
Source:Artificial AnalysisT2observed 37 min agomedium
- Max output
- 235.9K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Input modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Tokenizer
- Qwen
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Hugging Face repo
- Qwen/Qwen3-Coder-Next
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Aa median output tokens per second
- 110.4
Source:Artificial AnalysisT2observed 37 min agomedium
- Openrouter id
- qwen/qwen3-coder-next
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Supported parameters
- frequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
16
Source tiers
T216
Freshest observation
37 min ago
Conflicts
None
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
No
Artificial Analysis · T2
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 256K tokens
Source:Artificial AnalysisT2observed 37 min agomedium
- Max output
- 235.9K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Tokenizer
- Qwen
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
| Benchmark | Score | Metric | Config | Evaluated | Source |
|---|---|---|---|---|---|
| τ²-bench | 79.53% | pass^1 | aa_slug=qwen3-coder-next · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Artificial Analysis Intelligence Index | 10.05 | index | aa_slug=qwen3-coder-next · version=4.3 · estimated=false | — | artificialanalysis.aiT2 |
| GPQA | 73.74% | accuracy | aa_slug=qwen3-coder-next · variant=GPQA Diamond · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Humanity's Last Exam | 10.15% | accuracy | aa_slug=qwen3-coder-next · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| IFBench | 35.24% | accuracy | aa_slug=qwen3-coder-next · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| SciCode | 36.23% | accuracy | aa_slug=qwen3-coder-next · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 18.18% | accuracy | aa_slug=qwen3-coder-next · variant=hard · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 38.2% | accuracy | aa_slug=qwen3-coder-next · variant=v2.1 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 0% | accuracy | aa_slug=qwen3-coder-next · variant=v4.0 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
Scores are reported as published, with their evaluation configuration (harness, prompting, judge). Results with different configs are not directly comparable — see methodology.
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| OpenRouterqwen/qwen3-coder-next | $0.12 | $0.80 | $0.07 | — | 262.1K | 41 min ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 1
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- OpenRouter
No hardware estimate available
Ancestors 0
None recorded.
Descendants 0
None recorded.
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history
Release daterelease_date1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 4 Feb 2026 | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Opennessopenness1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| open-weights | → current | current | Artificial AnalysisT2 | medium | deterministic |
Context windowcontext_length2
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 256K tokens | → current | current | Artificial AnalysisT2 | medium | deterministic |
| 262.1K tokens | → | superseded | OpenRouter public model & pricing listingT2 | medium | deterministic |
Max outputmax_output_tokens1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 235.9K tokens | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Modalitiesmodalities1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| text | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Input modalitiesmodalities_input1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| text | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Output modalitiesmodalities_output1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| text | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Tokenizertokenizer1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Qwen | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Hugging Face repohf_repo1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Qwen/Qwen3-Coder-Next | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Descriptiondescription1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 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... | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 110.4 | → current | current | Artificial AnalysisT2 | medium | deterministic |
Openrouter idopenrouter_id1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| qwen/qwen3-coder-next | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Reasoningreasoning1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| No | → current | current | Artificial AnalysisT2 | medium | deterministic |
Structured outputstructured_output1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Yes | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Supported parameterssupported_parameters1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| frequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Tool callingtool_calling1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Yes | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Qwen3 Coder Next scores 18.18% on Terminal-Bench
artificial_analysisQwen3 Coder Next scores 38.2% on Terminal-Bench
artificial_analysisQwen3 Coder Next scores 0% on Terminal-Bench
artificial_analysisQwen3 Coder Next scores 79.53% on τ²-bench
artificial_analysisQwen3 Coder Next scores 35.24% on IFBench
artificial_analysisQwen3 Coder Next scores 36.23% on SciCode
artificial_analysisQwen3 Coder Next scores 10.15% on Humanity's Last Exam
artificial_analysisQwen3 Coder Next scores 10.05 on Artificial Analysis Intelligence Index
artificial_analysisQwen3 Coder Next: context length changed from 262144 to 256000
Context window262.1K tokens→256K tokensartificial_analysisOpenRouter lists Qwen3 Coder Next at $0.12 in / $0.8 out per 1M tokens
openrouter
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Artificial Analysis | artificialanalysis.ai/leaderboards/models | leaderboard | T2· Quality secondary | 37 min ago | 1 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 41 min ago | 2 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/Intel/Qwen3-Coder-Next-int4-AutoRound | model_page | T2· Quality secondary | 2 h ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.