Model comparison
GPT-4.1 mini vs Qwen3.7 Plus
Head-to-head evidence from 20 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-4.1 mini #152 (Estimated); Qwen3.7 Plus #21 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-4.1 mini and Qwen3.7 Plus share 20 comparable benchmark results. 4 of 8 categories are comparable. 2 results are unique to GPT-4.1 mini; 49 to Qwen3.7 Plus.
Updated July 23, 2026- Shared results
- 20
- GPT-4.1 mini only
- 2
- Qwen3.7 Plus only
- 49
- Comparable categories
- 4 / 8
Pick Qwen3.7 Plus if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 20 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 44.19. 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 4.5. The single biggest benchmark swing on the page is SWE-bench Verified, 23.6% to 77.7%. GPT-4.1 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Qwen3.7 Plus is the reasoning model in the pair, while GPT-4.1 mini 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.
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-4.1 mini | Δ | Qwen3.7 Plus |
|---|---|---|---|
| Math | GPT-4.1 mini4.5 | Margin→ 88.4 | Qwen3.7 Plus92.9 |
| Coding | GPT-4.1 mini23.6 | Margin→ 52.0 | Qwen3.7 Plus75.6 |
| Knowledge | GPT-4.1 mini64.2 | Margin← 4.1 | Qwen3.7 Plus60.1 |
| Inst. Following | GPT-4.1 mini88.5 | Margin← 4.0 | Qwen3.7 Plus84.5 |
| Agentic | GPT-4.1 miniNot measured | MarginNo overlap | Qwen3.7 Plus71.7 |
| Reasoning | GPT-4.1 miniNot measured | MarginNo overlap | Qwen3.7 Plus91.7 |
| Multilingual | GPT-4.1 miniNot measured | MarginNo overlap | Qwen3.7 Plus85.4 |
| Multimodal | GPT-4.1 miniNot measured | MarginNo overlap | Qwen3.7 Plus81.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 23.6%B 77.7%Winner: Qwen3.7 PlusΔ 54.1SWE-bench Verified: GPT-4.1 mini scored 23.6%; Qwen3.7 Plus scored 77.7%. Qwen3.7 Plus wins this benchmark. - Source ↗
GPQA
KnowledgeA 64.2%B 90.3%Winner: Qwen3.7 PlusΔ 26.1GPQA: GPT-4.1 mini scored 64.2%; Qwen3.7 Plus scored 90.3%. Qwen3.7 Plus wins this benchmark. - Source ↗
IFEval
Inst. FollowingA 88.5%B 94.6%Winner: Qwen3.7 PlusΔ 6.1IFEval: GPT-4.1 mini scored 88.5%; Qwen3.7 Plus scored 94.6%. 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-4.1 mini | Qwen3.7 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4.1 mini$0.4 input / $1.6 output | Qwen3.7 PlusNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-4.1 mini80 tok/s | Qwen3.7 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-4.1 mini0.76 s | Qwen3.7 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-4.1 mini1M | Qwen3.7 Plus1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | GPT-4.1 mini | Qwen3.7 Plus | Result |
|---|---|---|---|
| AA Agentic IndexSource | 1.7% | 20.8% | Qwen3.7 Plus leads |
| τ²-bench resultsSource | 52.9% | 93% | Qwen3.7 Plus leads |
| GDPval-AASource | 0.1% | 21.8% | Qwen3.7 Plus leads |
| GDPval-AASource | 503 | 936 | Qwen3.7 Plus leads |
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| QwenClawBenchSource | — | 61.8% | Not comparable |
| QwenWebBenchSource | — | 1536 | Not comparable |
| Claw-EvalSource | — | 62.7% | Not comparable |
| BFCL v4Source | — | 72.9% | Not comparable |
| MCP AtlasSource | — | 73.2% | Not comparable |
| VITA-BenchSource | — | 45.6% | Not comparable |
| DeepPlanningSource | — | 62.3% | Not comparable |
| OSWorld-VerifiedSource | — | 73.3% | Not comparable |
| AndroidWorldSource | — | 81.0% | Not comparable |
| APEX-Agents-AASource | — | 22.4% | Not comparable |
| OSWorld 2.0Source | — | 2.8% | Not comparable |
CodingQwen3.7 Plus wins9 benchmarks
| Benchmark | GPT-4.1 mini | Qwen3.7 Plus | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 23.6% | 77.7% | Qwen3.7 Plus leads |
| AA Coding IndexSource | 20.2% | 55.9% | Qwen3.7 Plus leads |
| AA-SciCodeSource | 40.4% | 45.5% | Qwen3.7 Plus leads |
| Terminal-Bench 2.0Source | — | 70.3% | 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
KnowledgeGPT-4.1 mini wins14 benchmarks
| Benchmark | GPT-4.1 mini | Qwen3.7 Plus | Result |
|---|---|---|---|
| MMLUSource | 87.5% | — | Not comparable |
| GPQASource | 64.2% | 90.3% | Qwen3.7 Plus leads |
| Artificial Analysis Intelligence IndexSource | 14.8% | 39.0% | Qwen3.7 Plus leads |
| AA-GPQA DiamondSource | 66.4% | 90.0% | Qwen3.7 Plus leads |
| AA-HLESource | 4.6% | 33.4% | Qwen3.7 Plus leads |
| AA-Omniscience IndexSource | -50.1% | 2.4% | Qwen3.7 Plus leads |
| AA-Omniscience AccuracySource | 17.5% | 22.2% | Qwen3.7 Plus leads |
| AA-Omniscience Hallucination RateSource | 82.0% | 25.5% | Qwen3.7 Plus leads |
| GPQA-DSource | — | 90.3% | Not comparable |
| HLESource | — | 34.7% | 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 wins4 benchmarks
Multilingual5 benchmarks
Multimodal17 benchmarks
| Benchmark | GPT-4.1 mini | Qwen3.7 Plus | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 58.7% | 80.5% | Qwen3.7 Plus leads |
| Design Arena WebsiteSource | 1027 | 1288 | Qwen3.7 Plus leads |
| MMMU-ProSource | — | 79% | Not comparable |
| 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 |
Frequently Asked Questions (5)
Which is better, GPT-4.1 mini or Qwen3.7 Plus?
Qwen3.7 Plus is ahead on BenchLM's BenchAlign leaderboard, 67.22 to 44.19. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 23.6% and 77.7%.
Which is better for knowledge tasks, GPT-4.1 mini or Qwen3.7 Plus?
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 64.2 versus 60.1. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-4.1 mini or Qwen3.7 Plus?
Qwen3.7 Plus has the edge for coding in this comparison, averaging 75.6 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Which is better for math, GPT-4.1 mini or Qwen3.7 Plus?
Qwen3.7 Plus has the edge for math in this comparison, averaging 92.9 versus 4.5. GPT-4.1 mini stays close enough that the answer can still flip depending on your workload.
Which is better for instruction following, GPT-4.1 mini or Qwen3.7 Plus?
GPT-4.1 mini has the edge for instruction following in this comparison, averaging 88.5 versus 84.5. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.
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