Model comparison
GPT-5.1 vs Qwen3.5-27B
Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.1 #94 (Estimated); Qwen3.5-27B #45 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.1 and Qwen3.5-27B share 13 comparable benchmark results. 0 of 8 categories are comparable. 8 results are unique to GPT-5.1; 15 to Qwen3.5-27B.
Updated July 23, 2026- Shared results
- 13
- GPT-5.1 only
- 8
- Qwen3.5-27B only
- 15
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.1 and Qwen3.5-27B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
GPT-5.1 is priced at $1.25 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-27B. Qwen3.5-27B has the larger context window at 262K, compared with 200K for GPT-5.1.
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 | GPT-5.1 | Δ | Qwen3.5-27B |
|---|---|---|---|
| Agentic | GPT-5.1Not measured | MarginNo overlap | Qwen3.5-27B52.0 |
| Coding | GPT-5.1Not measured | MarginNo overlap | Qwen3.5-27B64.9 |
| Reasoning | GPT-5.1Not measured | MarginNo overlap | Qwen3.5-27B60.6 |
| Knowledge | GPT-5.1Not measured | MarginNo overlap | Qwen3.5-27B82.7 |
| Math | GPT-5.126.4 | MarginNo overlap | Qwen3.5-27BNot measured |
| Multilingual | GPT-5.1Not measured | MarginNo overlap | Qwen3.5-27B82.2 |
| Inst. Following | GPT-5.1Not measured | MarginNo overlap | Qwen3.5-27B95.0 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.1 | Qwen3.5-27B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.1$1.25 input / $10 output | Qwen3.5-27B$0 input / $0 output | Qwen3.5-27B has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.1111 tok/s | Qwen3.5-27BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.157.47 s | Qwen3.5-27BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.1200K | Qwen3.5-27B262K | Qwen3.5-27B lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | GPT-5.1 | Qwen3.5-27B | Result |
|---|---|---|---|
| AA Agentic IndexSource | 21.0% | — | Not comparable |
| τ²-bench resultsSource | 81.9% | 93.9% | Qwen3.5-27B leads |
| Gert LabsSource | 41.24% | 39.41% | GPT-5.1 leads |
| GDPval-AASource | 24.4% | — | Not comparable |
| GDPval-AASource | 987 | — | Not comparable |
| Terminal-Bench 2.0Source | — | 41.6% | Not comparable |
| BrowseCompSource | — | 61% | Not comparable |
| OSWorld-VerifiedSource | — | 56.2% | Not comparable |
Coding5 benchmarks
Reasoning3 benchmarks
Knowledge9 benchmarks
| Benchmark | GPT-5.1 | Qwen3.5-27B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 36.9% | 33.8% | GPT-5.1 leads |
| AA-GPQA DiamondSource | 87.3% | 85.8% | GPT-5.1 leads |
| AA-HLESource | 26.5% | 22.2% | GPT-5.1 leads |
| AA-Omniscience IndexSource | 5.6% | -42.0% | GPT-5.1 leads |
| AA-Omniscience AccuracySource | 37.6% | 21.0% | GPT-5.1 leads |
| AA-Omniscience Hallucination RateSource | 51.3% | 79.7% | GPT-5.1 leads |
| MMLU-ProSource | — | 86.1% | Not comparable |
| SuperGPQASource | — | 65.6% | Not comparable |
| GPQASource | — | 85.5% | Not comparable |
Math2 benchmarks
Multilingual1 benchmarks
| Benchmark | GPT-5.1 | Qwen3.5-27B | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 82.2% | Not comparable |
Multimodal6 benchmarks
Frequently Asked Questions (3)
Can I compare GPT-5.1 and Qwen3.5-27B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-5.1 and Qwen3.5-27B today?
GPT-5.1: $1.25 input / $10.00 output per 1M tokens Qwen3.5-27B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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