Qwen·released 2026-02-011 source
Not yet benchmarked
Consensus: LiteLLM · Cross-check: OpenRouter · See every model’s pricing →
Claims drawn from cited facts, not live model generation.
Developed by Qwen, this model was released in 2026. At 79.68 billion parameters, this model is large, trading the efficiency and lower cost of smaller models for more capability headroom and higher serving expense.
3 cited facts
This model is not yet benchmarked: no tracked benchmarks are recorded for it. Accordingly, it holds no current top score.
2 cited facts
Its average gap to the state of the art is unknown, and it holds the top score on 0 benchmarks, which means there is no evidence of category leadership yet.
2 cited facts
6 facts cross-checked across data sources: 2 single-source, 4 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: huggingface_models, litellm_prices, openrouter_models
Qwen3-Coder-Next is an AI model developed by Qwen, released 2026-02-01. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
Listed API pricing: $0.5 per million input tokens, $1.2 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.