Model comparison
GPT-5.4 mini vs Qwen3.7 Plus
Head-to-head evidence from 23 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.4 mini #75 (Estimated); Qwen3.7 Plus #21 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 mini and Qwen3.7 Plus share 23 comparable benchmark results. 4 of 8 categories are comparable. 7 results are unique to GPT-5.4 mini; 46 to Qwen3.7 Plus.
Updated July 23, 2026- Shared results
- 23
- GPT-5.4 mini only
- 7
- Qwen3.7 Plus only
- 46
- Comparable categories
- 4 / 8
Pick Qwen3.7 Plus if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Confidence note. This is a partial-evidence comparison with 23 shared benchmark results across 6 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3.7 Plus is clearly ahead on the BenchAlign aggregate, 67.22 to 56.77. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Plus's sharpest advantage is in mathematics, where it averages 92.9 against 21.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 60% to 70.3%.
Qwen3.7 Plus gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.
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-5.4 mini | Δ | Qwen3.7 Plus |
|---|---|---|---|
| Math | GPT-5.4 mini21.7 | Margin→ 71.2 | Qwen3.7 Plus92.9 |
| Knowledge | GPT-5.4 mini47.8 | Margin→ 12.3 | Qwen3.7 Plus60.1 |
| Agentic | GPT-5.4 mini65.7 | Margin→ 6.0 | Qwen3.7 Plus71.7 |
| Multimodal | GPT-5.4 mini76.6 | Margin→ 4.9 | Qwen3.7 Plus81.5 |
| Coding | GPT-5.4 miniNot measured | MarginNo overlap | Qwen3.7 Plus75.6 |
| Reasoning | GPT-5.4 miniNot measured | MarginNo overlap | Qwen3.7 Plus91.7 |
| Multilingual | GPT-5.4 miniNot measured | MarginNo overlap | Qwen3.7 Plus85.4 |
| Inst. Following | GPT-5.4 miniNot measured | MarginNo overlap | Qwen3.7 Plus84.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 60%B 70.3%Winner: Qwen3.7 PlusΔ 10.3Terminal-Bench 2.0: GPT-5.4 mini scored 60%; Qwen3.7 Plus scored 70.3%. Qwen3.7 Plus wins this benchmark. - Source ↗
HLE
KnowledgeA 41.5%B 34.7%Winner: GPT-5.4 miniΔ 6.8HLE: GPT-5.4 mini scored 41.5%; Qwen3.7 Plus scored 34.7%. GPT-5.4 mini wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 76.6%B 79%Winner: Qwen3.7 PlusΔ 2.4MMMU-Pro: GPT-5.4 mini scored 76.6%; Qwen3.7 Plus scored 79%. Qwen3.7 Plus wins this benchmark. - Source ↗
GPQA
KnowledgeA 88%B 90.3%Winner: Qwen3.7 PlusΔ 2.3GPQA: GPT-5.4 mini scored 88%; Qwen3.7 Plus scored 90.3%. Qwen3.7 Plus wins this benchmark. - Source ↗
OSWorld-Verified
AgenticA 72.1%B 73.3%Winner: Qwen3.7 PlusΔ 1.2OSWorld-Verified: GPT-5.4 mini scored 72.1%; Qwen3.7 Plus scored 73.3%. Qwen3.7 Plus wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.4 mini | Qwen3.7 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4 mini$0.75 input / $4.5 output | Qwen3.7 PlusNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.4 mini201 tok/s | Qwen3.7 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4 mini3.85 s | Qwen3.7 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.4 mini400K | Qwen3.7 Plus1M | Qwen3.7 Plus lists the larger context window. |
Benchmark Deep Dive
AgenticQwen3.7 Plus wins17 benchmarks
| Benchmark | GPT-5.4 mini | Qwen3.7 Plus | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 60% | 70.3% | Qwen3.7 Plus leads |
| OSWorld-VerifiedSource | 72.1% | 73.3% | Qwen3.7 Plus leads |
| MCP AtlasSource | 57.7% | 73.2% | Qwen3.7 Plus leads |
| ToolathlonSource | 42.9% | — | Not comparable |
| τ²-bench resultsSource | 83.3% | 93% | Qwen3.7 Plus leads |
| AA Agentic IndexSource | 30.2% | 20.8% | GPT-5.4 mini leads |
| APEX-Agents-AASource | 28.2% | 22.4% | GPT-5.4 mini leads |
| GDPval-AASource | 33.6% | 21.8% | GPT-5.4 mini leads |
| GDPval-AASource | 1171 | 936 | GPT-5.4 mini leads |
| QwenClawBenchSource | — | 61.8% | Not comparable |
| QwenWebBenchSource | — | 1536 | Not comparable |
| Claw-EvalSource | — | 62.7% | Not comparable |
| BFCL v4Source | — | 72.9% | Not comparable |
| VITA-BenchSource | — | 45.6% | Not comparable |
| DeepPlanningSource | — | 62.3% | Not comparable |
| AndroidWorldSource | — | 81.0% | Not comparable |
| OSWorld 2.0Source | — | 2.8% | Not comparable |
Coding11 benchmarks
| Benchmark | GPT-5.4 mini | Qwen3.7 Plus | Result |
|---|---|---|---|
| Vibe Code BenchSource | 47.97% | — | Not comparable |
| AA Coding IndexSource | 56.1% | 55.9% | GPT-5.4 mini leads |
| AA-SciCodeSource | 49.9% | 45.5% | GPT-5.4 mini leads |
| FrontierCode 1.1 MainSource | 27.0% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| SWE-bench VerifiedSource | — | 77.7% | Not comparable |
| SWE-bench ProSource | — | 57.6% | Not comparable |
| SWE MultilingualSource | — | 75.8% | Not comparable |
| NL2RepoSource | — | 41.1% | Not comparable |
| SciCodeSource | — | 51.3% | Not comparable |
| LiveCodeBenchSource | — | 89.6% | Not comparable |
Reasoning3 benchmarks
KnowledgeQwen3.7 Plus wins14 benchmarks
| Benchmark | GPT-5.4 mini | Qwen3.7 Plus | Result |
|---|---|---|---|
| GPQASource | 88% | 90.3% | Qwen3.7 Plus leads |
| HLESource | 41.5% | 34.7% | GPT-5.4 mini leads |
| HLE w/o toolsSource | 28.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 40.0% | 39.0% | GPT-5.4 mini leads |
| AA-GPQA DiamondSource | 87.5% | 90.0% | Qwen3.7 Plus leads |
| AA-HLESource | 26.6% | 33.4% | Qwen3.7 Plus leads |
| AA-Omniscience IndexSource | -18.7% | 2.4% | Qwen3.7 Plus leads |
| AA-Omniscience AccuracySource | 37.5% | 22.2% | GPT-5.4 mini leads |
| AA-Omniscience Hallucination RateSource | 89.8% | 25.5% | Qwen3.7 Plus leads |
| GPQA-DSource | — | 90.3% | Not comparable |
| MMLU-ProSource | — | 88.5% | Not comparable |
| MMLU-ReduxSource | — | 94.5% | Not comparable |
| SuperGPQASource | — | 71.4% | Not comparable |
| MMMLUSource | — | 89.0% | Not comparable |
MathQwen3.7 Plus wins5 benchmarks
Multilingual5 benchmarks
MultimodalQwen3.7 Plus wins18 benchmarks
| Benchmark | GPT-5.4 mini | Qwen3.7 Plus | Result |
|---|---|---|---|
| MMMU-ProSource | 76.6% | 79% | Qwen3.7 Plus leads |
| MMMU-Pro w/ PythonSource | 78% | — | Not comparable |
| AA-MMMU-ProSource | 73.3% | 80.5% | Qwen3.7 Plus leads |
| MathVisionSource | — | 90.3% | Not comparable |
| CharXivSource | — | 85.9% | Not comparable |
| ERQASource | — | 69.8% | Not comparable |
| MedXpertQA (MM)Source | — | 71.0% | Not comparable |
| ScreenSpot ProSource | — | 79.0% | Not comparable |
| SimpleVQASource | — | 81.7% | Not comparable |
| MMSearch-PlusSource | — | 41.4% | Not comparable |
| RealWorldQASource | — | 86.9% | Not comparable |
| OmniDocBench 1.5Source | — | 91.4% | Not comparable |
| OCRBench V2Source | — | 70.7% | Not comparable |
| ODINW13Source | — | 51.1% | Not comparable |
| Video-MME (with subtitle)Source | — | 88.0% | Not comparable |
| VideoMMMUSource | — | 85.4% | Not comparable |
| MLVU (M-Avg)Source | — | 87.4% | Not comparable |
| Design Arena WebsiteSource | — | 1288 | Not comparable |
Frequently Asked Questions (5)
Which is better, GPT-5.4 mini or Qwen3.7 Plus?
Qwen3.7 Plus is ahead on BenchLM's BenchAlign leaderboard, 67.22 to 56.77. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 60% and 70.3%.
Which is better for knowledge tasks, GPT-5.4 mini or Qwen3.7 Plus?
Qwen3.7 Plus has the edge for knowledge tasks in this comparison, averaging 60.1 versus 47.8. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.4 mini or Qwen3.7 Plus?
Qwen3.7 Plus has the edge for math in this comparison, averaging 92.9 versus 21.7. GPT-5.4 mini stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, GPT-5.4 mini or Qwen3.7 Plus?
Qwen3.7 Plus has the edge for agentic tasks in this comparison, averaging 71.7 versus 65.7. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.4 mini or Qwen3.7 Plus?
Qwen3.7 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 81.5 versus 76.6. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.