Model Comparison

Qwen3-235B-A22B-Instruct-2507 vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Qwen3-235B-A22B-Instruct-2507 is 3.1x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

19 benchmarks

Qwen3-235B-A22B-Instruct-2507 outperforms in 2 benchmarks (Creative Writing v3, IFEval), while Qwen3-235B-A22B-Thinking-2507 is better at 17 benchmarks (AIME 2025, Arena-Hard v2, BFCL-v3, GPQA, HMMT25, Include, LiveBench 20241125, LiveCodeBench v6, MMLU-Pro, MMLU-ProX, MMLU-Redux, Multi-IF, PolyMATH, SuperGPQA, Tau2 Airline, Tau2 Retail, WritingBench).

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

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

For input processing, Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens) is 2.0x cheaper than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens) is 3.8x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

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

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

Lowest available price from all providers

Tue May 12 2026 • llm-stats.com

Qwen3-235B-A22B-Instruct-2507

Input tokens$0.15

Output tokens$0.80

Best providerFireworks

Qwen3-235B-A22B-Thinking-2507

Input tokens$0.30

Output tokens$3.00

Best providerFireworks

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

0.0M diff

Qwen3-235B-A22B-Thinking-2507 has 0.0B more parameters than Qwen3-235B-A22B-Instruct-2507, making it 0.0% larger.

Qwen3-235B-A22B-Instruct-2507

235.0Bparameters

Qwen3-235B-A22B-Thinking-2507

235.0Bparameters

235.0B

Qwen3-235B-A22B-Instruct-2507

235.0B

Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Both models have the same input context window of 262,144 tokens. Both models can generate responses up to 131,072 tokens.

Qwen3-235B-A22B-Instruct-2507

Input262,144 tokens

Output131,072 tokens

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Tue May 12 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 0 month newer than Qwen3-235B-A22B-Instruct-2507.

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

9 months ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

9 months ago

3d 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-Instruct-2507 is available from Fireworks, Novita. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

Qwen3-235B-A22B-Instruct-2507

Fireworks

Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M

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

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Qwen3-235B-A22B-Instruct-2507

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Higher Creative Writing v3 score (87.5% vs 86.1%)

Higher IFEval score (88.7% vs 87.8%)

Qwen3-235B-A22B-Thinking-2507

View details

Alibaba Cloud / Qwen Team

Higher AIME 2025 score (92.3% vs 70.3%)

Higher Arena-Hard v2 score (79.7% vs 79.2%)

Higher BFCL-v3 score (71.9% vs 70.9%)

Higher GPQA score (81.1% vs 77.5%)

Higher HMMT25 score (83.9% vs 55.4%)

Higher Include score (81.0% vs 79.5%)

Higher LiveBench 20241125 score (78.4% vs 75.4%)

Higher LiveCodeBench v6 score (74.1% vs 51.8%)

Higher MMLU-Pro score (84.4% vs 83.0%)

Higher MMLU-ProX score (81.0% vs 79.4%)

Higher MMLU-Redux score (93.8% vs 93.1%)

Higher Multi-IF score (80.6% vs 77.5%)

Higher PolyMATH score (60.1% vs 50.2%)

Higher SuperGPQA score (64.9% vs 62.6%)

Higher Tau2 Airline score (58.0% vs 44.0%)

Higher Tau2 Retail score (71.9% vs 71.3%)

Higher WritingBench score (88.3% vs 85.2%)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen3-235B-A22B-Instruct-2507	Qwen3-235B-A22B-Thinking-2507

FAQ

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

Which is better, Qwen3-235B-A22B-Instruct-2507 or Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team and Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3-235B-A22B-Instruct-2507 compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%. 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%.

Is Qwen3-235B-A22B-Instruct-2507 cheaper than Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Instruct-2507 is 2.0x cheaper for input tokens. Qwen3-235B-A22B-Instruct-2507 costs $0.15/M input and $0.80/M output via fireworks. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks.

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

Qwen3-235B-A22B-Instruct-2507 supports 262K tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K 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-Instruct-2507 and Qwen3-235B-A22B-Thinking-2507?

Key differences include input pricing ($0.15 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.