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Open weightsAlibaba (Qwen)/10 trustVerified
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Qwen3-235B-A22B

235B open MoE flagship with hybrid thinking modes, rivaling closed frontier models

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About

Qwen3-235B-A22B is the flagship of Alibaba's Qwen3 family: a Mixture-of-Experts model with 235B total parameters but only 22B activated per token, released under Apache 2.0 (license verified on the HF repo). Its signature feature is hybrid thinking — a switchable reasoning mode with controllable thinking budgets (also via /think and /no_think prompt switches) — plus support for 119 languages and dialects, tool use/MCP, and strong agentic coding. The July 2025 "2507" refresh (Qwen3-235B-A22B-2507) substantially improved benchmark scores and context length. Deploy via vLLM, SGLang, Ollama, LM Studio, or llama.cpp.

Specs

Context window

256K tokens (2507 refresh; original April 2025 release: 128K — sources conflict, noted)

Pricing

Weights free under Apache 2.0. Hosted API pricing conflicts across providers: llm-stats tracks from $0.10/$0.10 per 1M input/output tokens via Fireworks (lowest), while aggregator comparisons list ~$0.45/$1.82. Check current provider pricing before quoting.

Free quota

Free chat at chat.qwen.ai (provider-claimed); free OpenRouter :free endpoints exist (community-reported, subject to change).

API access

Alibaba Model Studio API; OpenRouter, Fireworks, Together AI, DeepInfra, Novita, NVIDIA NIM, Amazon Bedrock; self-host via vLLM / SGLang / Ollama / LM Studio / llama.cpp / KTransformers.

Weights

Open weights

Released

April 28, 2025

Benchmarks

Provider-reported (Qwen's official eval tables, 2507 releases): Thinking mode — AIME25 92.3, HMMT25 83.9, LiveCodeBench v6 74.1, CFEval 2134, GPQA 81.1, Arena-Hard v2 79.7; Instruct (non-thinking) mode — AIME25 70.3, LiveCodeBench v6 51.8, GPQA 77.5, ARC-AGI 41.8. Qwen claims the flagship is competitive with DeepSeek-R1, o3-mini and Gemini-2.5-Pro — treat head-to-head framing as provider-claimed. Independent: third-party reviews (Medium, dev.to) reproduced and corroborated the headline scores; LMArena coverage exists but I did not independently verify a current Elo figure.

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

chatcodereasoningagentsdata

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: HF: Qwen/Qwen3-235B-A22B; HF downloads 474,570 (peer-normalized); released 533 days ago. Manual review: evals are Qwen's own; release-date conflict noted; hosted pricing conflicts across sources. License: Apache-2.0.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
8.7/10
Maintenance · recency, releases, issue load
5.0/10
Openness · license + docs
10.0/10
Manual review · sanity read + red-flag check
9.0/10
  • · HF: Qwen/Qwen3-235B-A22B
  • · HF downloads 474,570 (peer-normalized)
  • · released 533 days ago
  • · manual review: evals are Qwen's own; release-date conflict noted; hosted pricing conflicts across sources

More in the qwen3 family

Sources