Model comparison
GPT-4o mini vs Qwen3.7 Plus
Head-to-head evidence from 10 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-4o mini #183 (Supported); Qwen3.7 Plus #21 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-4o mini and Qwen3.7 Plus share 10 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GPT-4o mini; 59 to Qwen3.7 Plus.
Updated July 23, 2026- Shared results
- 10
- GPT-4o mini only
- 0
- Qwen3.7 Plus only
- 59
- Comparable categories
- 0 / 8
Benchmark data for GPT-4o mini and Qwen3.7 Plus is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 10 shared benchmark results across 5 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.
Qwen3.7 Plus has the larger context window at 1M, compared with 128K for GPT-4o 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-4o mini | Δ | Qwen3.7 Plus |
|---|---|---|---|
| Agentic | GPT-4o miniNot measured | MarginNo overlap | Qwen3.7 Plus71.7 |
| Coding | GPT-4o miniNot measured | MarginNo overlap | Qwen3.7 Plus75.6 |
| Reasoning | GPT-4o miniNot measured | MarginNo overlap | Qwen3.7 Plus91.7 |
| Knowledge | GPT-4o miniNot measured | MarginNo overlap | Qwen3.7 Plus60.1 |
| Math | GPT-4o miniNot measured | MarginNo overlap | Qwen3.7 Plus92.9 |
| Multilingual | GPT-4o miniNot measured | MarginNo overlap | Qwen3.7 Plus85.4 |
| Multimodal | GPT-4o miniNot measured | MarginNo overlap | Qwen3.7 Plus81.5 |
| Inst. Following | GPT-4o miniNot measured | MarginNo overlap | Qwen3.7 Plus84.5 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-4o mini | Qwen3.7 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4o mini$0.15 input / $0.6 output | Qwen3.7 PlusNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-4o mini33 tok/s | Qwen3.7 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-4o mini3.16 s | Qwen3.7 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-4o mini128K | Qwen3.7 Plus1M | Qwen3.7 Plus lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | GPT-4o mini | Qwen3.7 Plus | Result |
|---|---|---|---|
| AA Agentic IndexSource | 1.0% | 20.8% | Qwen3.7 Plus leads |
| GDPval-AASource | 0.0% | 21.8% | Qwen3.7 Plus leads |
| GDPval-AASource | 226 | 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 |
| τ²-bench resultsSource | — | 93% | Not comparable |
| OSWorld 2.0Source | — | 2.8% | Not comparable |
Coding9 benchmarks
| Benchmark | GPT-4o mini | Qwen3.7 Plus | Result |
|---|---|---|---|
| AA-SciCodeSource | 22.9% | 45.5% | Qwen3.7 Plus leads |
| AA Coding IndexSource | 11.4% | 55.9% | Qwen3.7 Plus leads |
| 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
Knowledge13 benchmarks
| Benchmark | GPT-4o mini | Qwen3.7 Plus | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 6.9% | 39.0% | Qwen3.7 Plus leads |
| AA-GPQA DiamondSource | 42.6% | 90.0% | Qwen3.7 Plus leads |
| AA-HLESource | 4.0% | 33.4% | Qwen3.7 Plus leads |
| GPQASource | — | 90.3% | Not comparable |
| 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 |
| AA-Omniscience IndexSource | — | 2.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 22.2% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 25.5% | Not comparable |
Math3 benchmarks
Multilingual5 benchmarks
Multimodal17 benchmarks
| Benchmark | GPT-4o mini | Qwen3.7 Plus | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 41.5% | 80.5% | 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 |
| Design Arena WebsiteSource | — | 1288 | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-4o mini and Qwen3.7 Plus 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-4o mini and Qwen3.7 Plus today?
GPT-4o mini: $0.15 input / $0.60 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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