Model comparison
Qwen3 235B 2507 vs Qwen3.5-35B-A3B
Head-to-head evidence from 4 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Qwen3 235B 2507 #78 (Estimated); Qwen3.5-35B-A3B #72 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3 235B 2507 and Qwen3.5-35B-A3B share 4 comparable benchmark results. 2 of 8 categories are comparable. 0 results are unique to Qwen3 235B 2507; 24 to Qwen3.5-35B-A3B.
Updated July 23, 2026- Shared results
- 4
- Qwen3 235B 2507 only
- 0
- Qwen3.5-35B-A3B only
- 24
- Comparable categories
- 2 / 8
Pick Qwen3.5-35B-A3B if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3.5-35B-A3B has the cleaner BenchAlign overall profile here, landing at 56.97 versus 56.02. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Qwen3.5-35B-A3B's sharpest advantage is in knowledge, where it averages 81.6 against 78.9. The single biggest benchmark swing on the page is GPQA, 77.5% to 84.2%.
Qwen3.5-35B-A3B is the reasoning model in the pair, while Qwen3 235B 2507 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Qwen3.5-35B-A3B gives you the larger context window at 262K, compared with 128K for Qwen3 235B 2507.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Qwen3 235B 2507 | Δ | Qwen3.5-35B-A3B |
|---|---|---|---|
| Knowledge | Qwen3 235B 250778.9 | Margin→ 2.7 | Qwen3.5-35B-A3B81.6 |
| Multilingual | Qwen3 235B 250779.4 | Margin→ 1.6 | Qwen3.5-35B-A3B81.0 |
| Agentic | Qwen3 235B 2507Not measured | MarginNo overlap | Qwen3.5-35B-A3B51.0 |
| Coding | Qwen3 235B 2507Not measured | MarginNo overlap | Qwen3.5-35B-A3B60.6 |
| Reasoning | Qwen3 235B 2507Not measured | MarginNo overlap | Qwen3.5-35B-A3B59.0 |
| Inst. Following | Qwen3 235B 2507Not measured | MarginNo overlap | Qwen3.5-35B-A3B91.9 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 77.5%B 84.2%Winner: Qwen3.5-35B-A3BΔ 6.7GPQA: Qwen3 235B 2507 scored 77.5%; Qwen3.5-35B-A3B scored 84.2%. Qwen3.5-35B-A3B wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 83%B 85.3%Winner: Qwen3.5-35B-A3BΔ 2.3MMLU-Pro: Qwen3 235B 2507 scored 83%; Qwen3.5-35B-A3B scored 85.3%. Qwen3.5-35B-A3B wins this benchmark. - Source ↗
MMLU-ProX
MultilingualA 79.4%B 81%Winner: Qwen3.5-35B-A3BΔ 1.6MMLU-ProX: Qwen3 235B 2507 scored 79.4%; Qwen3.5-35B-A3B scored 81%. Qwen3.5-35B-A3B wins this benchmark. - Source ↗
SuperGPQA
KnowledgeA 62.6%B 63.4%Winner: Qwen3.5-35B-A3BΔ 0.8SuperGPQA: Qwen3 235B 2507 scored 62.6%; Qwen3.5-35B-A3B scored 63.4%. Qwen3.5-35B-A3B wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3 235B 2507 | Qwen3.5-35B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3 235B 2507$0 input / $0 output | Qwen3.5-35B-A3B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Qwen3 235B 2507Not available | Qwen3.5-35B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3 235B 2507Not available | Qwen3.5-35B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3 235B 2507128K | Qwen3.5-35B-A3B262K | Qwen3.5-35B-A3B lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
Reasoning3 benchmarks
KnowledgeQwen3.5-35B-A3B wins9 benchmarks
| Benchmark | Qwen3 235B 2507 | Qwen3.5-35B-A3B | Result |
|---|---|---|---|
| GPQASource | 77.5% | 84.2% | Qwen3.5-35B-A3B leads |
| SuperGPQASource | 62.6% | 63.4% | Qwen3.5-35B-A3B leads |
| MMLU-ProSource | 83% | 85.3% | Qwen3.5-35B-A3B leads |
| Artificial Analysis Intelligence IndexSource | — | 29.3% | Not comparable |
| AA-GPQA DiamondSource | — | 84.5% | Not comparable |
| AA-HLESource | — | 19.7% | Not comparable |
| AA-Omniscience IndexSource | — | -46.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 20.5% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 84.0% | Not comparable |
MultilingualQwen3.5-35B-A3B wins1 benchmarks
| Benchmark | Qwen3 235B 2507 | Qwen3.5-35B-A3B | Result |
|---|---|---|---|
| MMLU-ProXSource | 79.4% | 81% | Qwen3.5-35B-A3B leads |
Multimodal5 benchmarks
Frequently Asked Questions (3)
Which is better, Qwen3 235B 2507 or Qwen3.5-35B-A3B?
Qwen3.5-35B-A3B is ahead on BenchLM's BenchAlign leaderboard, 56.97 to 56.02. The biggest single separator in this matchup is GPQA, where the scores are 77.5% and 84.2%.
Which is better for knowledge tasks, Qwen3 235B 2507 or Qwen3.5-35B-A3B?
Qwen3.5-35B-A3B has the edge for knowledge tasks in this comparison, averaging 81.6 versus 78.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for multilingual tasks, Qwen3 235B 2507 or Qwen3.5-35B-A3B?
Qwen3.5-35B-A3B has the edge for multilingual tasks in this comparison, averaging 81 versus 79.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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