Qwen3-235B-A22B-Thinking-2507 vs Qwen3.8 Max: Specs & Benchmark Comparison

Qwen3-235B-A22B-Thinking-2507 and Qwen3.8 Max both come from Alibaba, Qwen3-235B-A22B-Thinking-2507 was released in July 2025, and Qwen3.8 Max followed 13 months later in August 2026. Qwen3.8 Max is the larger model at roughly 2.4 trillion parameters, against 235 billion for Qwen3-235B-A22B-Thinking-2507.

The two models share 2 published benchmarks. Qwen3.8 Max leads on 2 of them. The widest gaps are on Humanity's Last Exam, where Qwen3.8 Max scores 43.6% against 18.2%; GPQA, where Qwen3.8 Max scores 92.6% against 81.1%. Averaged across everything we track, Qwen3-235B-A22B-Thinking-2507 sits at 69.2% and Qwen3.8 Max at 71.0%.

Qwen3-235B-A22B-Thinking-2507 is the cheaper API at $0.30 per million input tokens and $3 per million output tokens, roughly 8 times cheaper than Qwen3.8 Max at $2.50 and $6.25. Qwen3.8 Max takes the larger context window at 1M tokens, compared with 256K for Qwen3-235B-A22B-Thinking-2507. Qwen3-235B-A22B-Thinking-2507 accepts text as input, while Qwen3.8 Max accepts text and images.

CharacteristicQwen3-235B-A22B-Thinking-2507Qwen3.8 Max
CompanyAlibabaAlibaba
Release DateJuly 24, 2025August 2, 2026
Parameters235B2.4T
MultimodalNoYes
Context (input)256K1.0M
Context (output)33K131K
Input Price / 1M$0.30$2.50
Output Price / 1M$3.00$6.25
Average Score69.2%71.0%
Benchmarks
Humanity's Last Exam18.2%43.6%
GPQA81.1%92.6%

Visual Benchmark Comparison

Qwen3-235B-A22B-Thinking-2507
Qwen3.8 Max
Humanity's Last Exam0.2 vs 0.4
0.2
0.4
GPQA0.8 vs 0.9
0.8
0.9

Verdict

Qwen3.8 Max leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: Qwen3-235B-A22B-Thinking-2507 — 0.7, Qwen3.8 Max — 0.7.

API Cost

Qwen3-235B-A22B-Thinking-2507 is 2.7x cheaper: input $0.30/1M vs $2.50/1M tokens.

Context Window

Qwen3.8 Max supports a larger context: 1M vs 256K tokens.

Recency

Qwen3.8 Max is newer: released 8/2/2026 vs 7/24/2025.

More About These Models

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Frequently Asked Questions

Which is better for coding — Qwen3-235B-A22B-Thinking-2507 or Qwen3.8 Max?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Qwen3-235B-A22B-Thinking-2507 or Qwen3.8 Max?
Qwen3-235B-A22B-Thinking-2507 is cheaper for input: $0.30 per 1M tokens vs $2.50.
Which has a larger context window — Qwen3-235B-A22B-Thinking-2507 or Qwen3.8 Max?
Qwen3.8 Max supports a larger context: 1,048,576 tokens vs 256,000.

The Qwen3-235B-A22B-Thinking-2507 and Qwen3.8 Max comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Qwen3-235B-A22B-Thinking-2507 or Qwen3.8 Max page. See also the complete list of AI model comparisons.