Qwen3-235B-A22B-Thinking-2507 vs Qwen3.8 Max

Qwen3.8 Max leads the LLM Stats Score 51.9 to 28.1. Qwen3-235B-A22B-Thinking-2507 is 2.5x cheaper per token.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8 Max leads the overall LLM Stats Score 51.9 to 28.1, ranking #11 overall.

In the 2 individual benchmarks reported for both models, Qwen3.8 Max wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3-235B-A22B-Thinking-2507 is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3-235B-A22B-Thinking-2507 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Qwen3-235B-A22B-Thinking-2507

cost matters — it's about 2.5x cheaper per token
you process long inputs — it offers a 262,144 token context window

Choose Qwen3.8 Max

overall performance matters — it scores 51.9 and ranks #11 on LLM Stats
your work emphasizes reasoning and agents — it leads those capability indexes
you value its reported benchmark strengths — it wins 2 of 2 exact shared results
you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Better token value: Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

Qwen3.8 Max

Alibaba Cloud / Qwen Team

Core performance indexes

LLM Stats Score

28.1

#134 · 24 evals

51.9

#11 · 33 evals

Best

Reasoning

28.4

#127 · 19 evals

50.6

#11 · 19 evals

Best

Agents

11.5

#107 · 1 evals

37.7

#12 · 19 evals

Best

Cost, coverage & limits

Benchmark wins

0 of 2

2 of 2

Best

Input price

$0.30 / M

Best

$1.65 / M

Output price

$3.00 / M

Best

$4.95 / M

Context window

262,144

Best

256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared

Index

Qwen3-235B-A22B-Thinking-2507

Qwen3.8 Max

Math

31.3#69 · 9 evals

33.8#52 · 2 evals

Vision

12.1#105 · 2 evals

37.7#5 · 11 evals

Tool use

10.8#118 · 6 evals

31.9#8 · 4 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

25 reported for Qwen3-235B-A22B-Thinking-2507 · 42 for Qwen3.8 Max

2 shared

Qwen3-235B-A22B-Thinking-2507 outperforms in 0 benchmarks, while Qwen3.8 Max is better at 2 benchmarks (GPQA, Humanity's Last Exam).

Qwen3.8 Max significantly outperforms across most benchmarks.

Sat Sep 12 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3-235B-A22B-Thinking-2507 costs less

For input processing, Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens) is 5.5x cheaper than Qwen3.8 Max ($1.65/1M tokens).

For output processing, Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens) is 1.7x cheaper than Qwen3.8 Max ($4.95/1M tokens).

In conclusion, Qwen3.8 Max is more expensive than Qwen3-235B-A22B-Thinking-2507.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Sat Sep 12 2026 • llm-stats.com

Qwen3-235B-A22B-Thinking-2507

Input tokens$0.30

Output tokens$3.00

Best providerFireworks

Qwen3.8 Max

Input tokens$1.65

Output tokens$4.95

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

2165.0B diff

Qwen3.8 Max has 2165.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 921.3% larger.

Qwen3-235B-A22B-Thinking-2507

235.0Bparameters

Qwen3.8 Max

2.4Tparameters

235.0B

Qwen3-235B-A22B-Thinking-2507

2400.0B

Qwen3.8 Max

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to Qwen3.8 Max's 256,000 tokens. Qwen3.8 Max can generate longer responses up to 256,000 tokens, while Qwen3-235B-A22B-Thinking-2507 is limited to 131,072 tokens.

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Qwen3.8 Max

Input256,000 tokens

Output256,000 tokens

Sat Sep 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3.8 Max supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.

Qwen3.8 Max can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3-235B-A22B-Thinking-2507

Text

Images

Audio

Video

Qwen3.8 Max

Text

Images

Audio

Video

License

Usage and distribution terms

Qwen3-235B-A22B-Thinking-2507 is licensed under Apache 2.0, while Qwen3.8 Max uses Qwen3.8-Max License.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Qwen3.8 Max

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8 Max is 12 months newer than Qwen3-235B-A22B-Thinking-2507.

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

1.1 years ago

Qwen3.8 Max

Aug 2, 2026

1 months ago

1.0yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.

Qwen3-235B-A22B-Thinking-2507

Fireworks

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

Novita

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

Qwen3.8 Max

Deepinfra

Input Price:Input: $1.65/1MOutput Price:Output: $4.95/1M

Fireworks

Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M

Novita

Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M

Together

Input Price:Input: $2.50/1MOutput Price:Output: $6.25/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Qwen3-235B-A22B-Thinking-2507 and Qwen3.8 Max side-by-side, then vote on the output you prefer.

Qwen3-235B-A22B-Thinking-2507

✓ Preferred

Qwen3.8 Max

Open in Playground

FAQ

Common questions about Qwen3-235B-A22B-Thinking-2507 vs Qwen3.8 Max.

Which is better, Qwen3-235B-A22B-Thinking-2507 or Qwen3.8 Max?

Qwen3.8 Max leads the LLM Stats Score 51.9 to 28.1. Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team and Qwen3.8 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Qwen3-235B-A22B-Thinking-2507 compare to Qwen3.8 Max in benchmarks?

Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%. Qwen3.8 Max scores PaperBench: 93.0%, MRCR v2 (8-needle): 92.9%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%.

Is Qwen3-235B-A22B-Thinking-2507 cheaper than Qwen3.8 Max?

Qwen3-235B-A22B-Thinking-2507 is 5.5x cheaper for input tokens. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks. Qwen3.8 Max costs $1.65/M input and $4.95/M output via deepinfra.

What are the context window sizes for Qwen3-235B-A22B-Thinking-2507 and Qwen3.8 Max?

Qwen3-235B-A22B-Thinking-2507 supports 262K tokens and Qwen3.8 Max supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3-235B-A22B-Thinking-2507 and Qwen3.8 Max?

Key differences include LLM Stats Score (28.1 vs 51.9), context window (262K vs 256K), input pricing ($0.30 vs $1.65/M), multimodal support (no vs yes), licensing (Apache 2.0 vs Qwen3.8-Max License). See the full comparison above for benchmark-by-benchmark results.

Qwen3-235B-A22B-Thinking-2507 vs Qwen3.8 Max

Which is better?

Choose Qwen3-235B-A22B-Thinking-2507

Choose Qwen3.8 Max

At a glance

Capability indexes

Individual benchmarks

Human preference

Pricing Analysis

Model Size

Context Window

Input capabilities

Qwen3-235B-A22B-Thinking-2507

Qwen3.8 Max

License

Release Timeline

Knowledge Cutoff

Provider Availability

Qwen3-235B-A22B-Thinking-2507

Qwen3.8 Max

Outputs Comparison

Judge for yourself.

FAQ

Which is better, Qwen3-235B-A22B-Thinking-2507 or Qwen3.8 Max?

How does Qwen3-235B-A22B-Thinking-2507 compare to Qwen3.8 Max in benchmarks?

Is Qwen3-235B-A22B-Thinking-2507 cheaper than Qwen3.8 Max?

What are the context window sizes for Qwen3-235B-A22B-Thinking-2507 and Qwen3.8 Max?

What are the main differences between Qwen3-235B-A22B-Thinking-2507 and Qwen3.8 Max?

More Qwen3-235B-A22B-Thinking-2507 comparisons

More Qwen3.8 Max comparisons

Qwen3-235B-A22B-Thinking-2507 vs Qwen3.8 Max

Which is better?

Choose Qwen3-235B-A22B-Thinking-2507

Choose Qwen3.8 Max

At a glance

Capability indexes

Individual benchmarks

Human preference

Pricing Analysis

Model Size

Context Window

Input capabilities

Qwen3-235B-A22B-Thinking-2507

Qwen3.8 Max

License

Release Timeline

Knowledge Cutoff

Provider Availability

Qwen3-235B-A22B-Thinking-2507

Qwen3.8 Max

Outputs Comparison

Judge for yourself.

Which is better, Qwen3-235B-A22B-Thinking-2507 or Qwen3.8 Max?

How does Qwen3-235B-A22B-Thinking-2507 compare to Qwen3.8 Max in benchmarks?

Is Qwen3-235B-A22B-Thinking-2507 cheaper than Qwen3.8 Max?

What are the context window sizes for Qwen3-235B-A22B-Thinking-2507 and Qwen3.8 Max?

What are the main differences between Qwen3-235B-A22B-Thinking-2507 and Qwen3.8 Max?

Related comparisons

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