Model comparison
Qwen3 235B 2507 vs Qwen3.6-27B
Head-to-head evidence from 3 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Qwen3 235B 2507 #78 (Estimated); Qwen3.6-27B #93 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3 235B 2507 and Qwen3.6-27B share 3 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to Qwen3 235B 2507; 51 to Qwen3.6-27B.
Updated July 21, 2026- Shared results
- 3
- Qwen3 235B 2507 only
- 1
- Qwen3.6-27B only
- 51
- Comparable categories
- 1 / 8
Pick Qwen3 235B 2507 if you want the stronger benchmark profile. Qwen3.6-27B only becomes the better choice if you need the larger 262K context window or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3 235B 2507 has the cleaner BenchAlign overall profile here, landing at 56.02 versus 53.82. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Qwen3 235B 2507's sharpest advantage is in knowledge, where it averages 78.9 against 53.3. The single biggest benchmark swing on the page is GPQA, 77.5% to 87.8%.
Qwen3.6-27B 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. Qwen3.6-27B 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 | Qwen3.6-27B |
|---|---|---|---|
| Knowledge | Qwen3 235B 250778.9 | Margin← 25.6 | Qwen3.6-27B53.3 |
| Agentic | Qwen3 235B 2507Not measured | MarginNo overlap | Qwen3.6-27B59.3 |
| Coding | Qwen3 235B 2507Not measured | MarginNo overlap | Qwen3.6-27B77.5 |
| Math | Qwen3 235B 2507Not measured | MarginNo overlap | Qwen3.6-27B89.2 |
| Multilingual | Qwen3 235B 250779.4 | MarginNo overlap | Qwen3.6-27BNot measured |
| Multimodal | Qwen3 235B 2507Not measured | MarginNo overlap | Qwen3.6-27B76.7 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 77.5%B 87.8%Winner: Qwen3.6-27BΔ 10.3GPQA: Qwen3 235B 2507 scored 77.5%; Qwen3.6-27B scored 87.8%. Qwen3.6-27B wins this benchmark. - Source ↗
SuperGPQA
KnowledgeA 62.6%B 66%Winner: Qwen3.6-27BΔ 3.4SuperGPQA: Qwen3 235B 2507 scored 62.6%; Qwen3.6-27B scored 66%. Qwen3.6-27B wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 83%B 86.2%Winner: Qwen3.6-27BΔ 3.2MMLU-Pro: Qwen3 235B 2507 scored 83%; Qwen3.6-27B scored 86.2%. Qwen3.6-27B wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3 235B 2507 | Qwen3.6-27B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3 235B 2507$0 input / $0 output | Qwen3.6-27B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Qwen3 235B 2507Not available | Qwen3.6-27BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3 235B 2507Not available | Qwen3.6-27BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3 235B 2507128K | Qwen3.6-27B262K | Qwen3.6-27B lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Qwen3 235B 2507 | Qwen3.6-27B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 59.3% | Not comparable |
| Claw-EvalSource | — | 72.4% | Not comparable |
| QwenClawBenchSource | — | 53.4% | Not comparable |
| QwenWebBenchSource | — | 1487 | Not comparable |
| AndroidWorldSource | — | 70.3% | Not comparable |
| AA Agentic IndexSource | — | 27.0% | Not comparable |
| τ²-bench resultsSource | — | 94.2% | Not comparable |
| GDPval-AASource | — | 32.0% | Not comparable |
| GDPval-AASource | — | 1140 | Not comparable |
| Gert LabsSource | — | 54.84% | Not comparable |
Coding8 benchmarks
| Benchmark | Qwen3 235B 2507 | Qwen3.6-27B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | — | 77.2% | Not comparable |
| SWE MultilingualSource | — | 71.3% | Not comparable |
| SWE-bench ProSource | — | 53.5% | Not comparable |
| Terminal-Bench 2.0Source | — | 59.3% | Not comparable |
| LiveCodeBenchSource | — | 83.9% | Not comparable |
| NL2RepoSource | — | 36.2% | Not comparable |
| AA Coding IndexSource | — | 53.7% | Not comparable |
| AA-SciCodeSource | — | 39.8% | Not comparable |
Reasoning2 benchmarks
KnowledgeQwen3 235B 2507 wins12 benchmarks
| Benchmark | Qwen3 235B 2507 | Qwen3.6-27B | Result |
|---|---|---|---|
| GPQASource | 77.5% | 87.8% | Qwen3.6-27B leads |
| SuperGPQASource | 62.6% | 66% | Qwen3.6-27B leads |
| MMLU-ProSource | 83% | 86.2% | Qwen3.6-27B leads |
| MMLU-ReduxSource | — | 93.5% | Not comparable |
| C-EvalSource | — | 91.4% | Not comparable |
| HLESource | — | 24% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 37.0% | Not comparable |
| AA-GPQA DiamondSource | — | 84.2% | Not comparable |
| AA-HLESource | — | 21.6% | Not comparable |
| AA-Omniscience IndexSource | — | -19.8% | Not comparable |
| AA-Omniscience AccuracySource | — | 19.2% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 48.3% | Not comparable |
Math5 benchmarks
Multilingual1 benchmarks
| Benchmark | Qwen3 235B 2507 | Qwen3.6-27B | Result |
|---|---|---|---|
| MMLU-ProXSource | 79.4% | — | Not comparable |
Multimodal16 benchmarks
| Benchmark | Qwen3 235B 2507 | Qwen3.6-27B | Result |
|---|---|---|---|
| MMMUSource | — | 82.9% | Not comparable |
| MMMU-ProSource | — | 75.8% | Not comparable |
| RealWorldQASource | — | 84.1% | Not comparable |
| DynaMathSource | — | 85.6% | Not comparable |
| MStarSource | — | 81.4% | Not comparable |
| SimpleVQASource | — | 56.1% | Not comparable |
| CharXivSource | — | 78.4% | Not comparable |
| CC-OCRSource | — | 81.2% | Not comparable |
| CountBenchSource | — | 97.8% | Not comparable |
| RefCOCO (avg)Source | — | 92.5% | Not comparable |
| ERQASource | — | 62.5% | Not comparable |
| Video-MME (with subtitle)Source | — | 87.7% | Not comparable |
| VideoMMMUSource | — | 84.4% | Not comparable |
| MLVU (M-Avg)Source | — | 86.6% | Not comparable |
| V*Source | — | 94.7% | Not comparable |
| AA-MMMU-ProSource | — | 74.6% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Qwen3 235B 2507 | Qwen3.6-27B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 67.6% | Not comparable |
Frequently Asked Questions (2)
Which is better, Qwen3 235B 2507 or Qwen3.6-27B?
Qwen3 235B 2507 is ahead on BenchLM's BenchAlign leaderboard, 56.02 to 53.82. The biggest single separator in this matchup is GPQA, where the scores are 77.5% and 87.8%.
Which is better for knowledge tasks, Qwen3 235B 2507 or Qwen3.6-27B?
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 78.9 versus 53.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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