GPT-5 Mini vs Qwen3.7 Plus
Updated October 21, 2026. 62 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
GPT-5 Mini and Qwen3.7 Plus are level for coding, 34.2 against 33.2 on the Vibe Coding Index, so price and context decide.
Pick Qwen3.7 Plus when output tokens cost 1.6x less, or when the context window is larger, 1M against 400K tokens. Pick GPT-5 Mini when what matters is FrontierMath, tiers 1 to 3 or MortgageTax (Vals AI), where it leads.
- Shared results
- 62
- GPT-5 Mini only
- 36
- Qwen3.7 Plus only
- 13
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Level: 34.2 against 33.2, inside 2 points.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 25.2 against 20.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.7 Plus has a AA Agentic Index result, 17.5.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-5 Mini has a GPQA Diamond result, 80.3%.
Directional only
Math
AIME
No call
Only GPT-5 Mini has a AIME result, 91.5%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5 Mini has a MMLU Pro result, 82.2%.
Directional only
Web design
Design Arena: websites
Qwen3.7 Plus
Qwen3.7 Plus leads, 1269 against 1125.
Same board, both measured
Long documents
Listed context window
Qwen3.7 Plus
Qwen3.7 Plus takes 1M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Plus
GPT-5 Mini $0.0013, Qwen3.7 Plus $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5 Mini has the number, $0.08.
Directional only
At a glance
- Coding index
- GPT-5 Mini 34.2 from 2 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- Agentic work, 21.9 points apart on average over 1 shared benchmark.
- Widest single gap
- Vibe Code Bench (Vals AI): GPT-5 Mini 14.2% against Qwen3.7 Plus 46.4%, 32.2 points apart on a 0 to 100 scale.
- Output price
- GPT-5 Mini $2.00 against Qwen3.7 Plus $1.28 per million output tokens, 1.6x apart.
- Context window
- GPT-5 Mini takes 400K tokens, Qwen3.7 Plus 1M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | GPT-5 Mini | Bars | Qwen3.7 Plus | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 9 | ||
| Math | 1 | 3 | ||
| Knowledge | 1 | 4 | ||
| Web design | 0 | 8 | ||
| General | 1 | 27 | ||
| All shared boards | 3 | 59 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
| Benchmark | GPT-5 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| SWE-bench Verified | 59.8% | Not measured | Only GPT-5 Mini measured |
| SWE-bench Multilingual | 39.7% | Not measured | Only GPT-5 Mini measured |
| AA Coding Index | Not measured | 55.9 | Only Qwen3.7 Plus measured |
| LiveCodeBench (Vals AI) | 86.6% | Not measured | Only GPT-5 Mini measured |
| SWE-bench Verified (Vals AI) | 60.8% | Not measured | Only GPT-5 Mini measured |
| Vibe Code Bench (Vals AI) | 14.2% | 46.4% | Qwen3.7 Plus |
| Code migration (Vals AI) | Not measured | 12.9% | Only Qwen3.7 Plus measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 52.8% | Only Qwen3.7 Plus measured |
| SkillsBench (Vals AI) | Not measured | 54.3% | Only Qwen3.7 Plus measured |
| LiveCodeBench (Artificial Analysis run) | 83.8% | Not measured | Only GPT-5 Mini measured |
| SciCode | 39.0% | 46.1% | Qwen3.7 Plus |
| Terminal-Bench Hard (Artificial Analysis run) | 33.3% | 47.0% | Qwen3.7 Plus |
| Terminal-Bench | 34.8% | Not measured | Only GPT-5 Mini measured |
| FrontierCode | Not measured | 10.2% | Only Qwen3.7 Plus measured |
| WeirdML | 52.7% | Not measured | Only GPT-5 Mini measured |
| LMArena Text: coding | 1406 | 1473 | Qwen3.7 Plus |
| LMArena Text: software and IT | 1394 | 1473 | Qwen3.7 Plus |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-5 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.6 | 25.2 | Qwen3.7 Plus |
| Epoch Capabilities Index | 145.3 | 147.0 | Qwen3.7 Plus |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-5 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 17.5 | Only Qwen3.7 Plus measured |
| Finance Agent (Vals AI) | Not measured | 38.2% | Only Qwen3.7 Plus measured |
| Tax Agent Bench (Vals AI) | Not measured | 10.5% | Only Qwen3.7 Plus measured |
| Legal Research Bench (Vals AI) | Not measured | 16.4% | Only Qwen3.7 Plus measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 49.3% | Only Qwen3.7 Plus measured |
| τ²-Bench Telecom | 71.1% | 93.0% | Qwen3.7 Plus |
| OSWorld 2.0 | Not measured | 2.8% | Only Qwen3.7 Plus measured |
| Vending-Bench 2 | -$31 | Not measured | Only GPT-5 Mini measured |
| Neither model has a result on the other 31 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | GPT-5 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | 80.3% | Not measured | Only GPT-5 Mini measured |
| MMMU Pro (Vals AI) | 78.9% | Not measured | Only GPT-5 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 82.8% | 90.0% | Qwen3.7 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 21.5% | 35.6% | Qwen3.7 Plus |
| GPQA Diamond (Epoch AI run) | 75.0% | 87.9% | Qwen3.7 Plus |
| ARC-AGI | 54.3% | Not measured | Only GPT-5 Mini measured |
| ARC-AGI-2 | 4.4% | Not measured | Only GPT-5 Mini measured |
| Chess puzzles | 24.0% | Not measured | Only GPT-5 Mini measured |
| Mystery game puzzles | 10.0% | 17.0% | Qwen3.7 Plus |
| VPCT | 40.2% | Not measured | Only GPT-5 Mini measured |
| LMArena Text: hard prompts | 1380 | 1460 | Qwen3.7 Plus |
| LMArena Text: expert | 1379 | 1466 | Qwen3.7 Plus |
| LMArena Text: hard prompts in English | 1383 | 1460 | Qwen3.7 Plus |
| LMArena Vision: diagrams | 1202 | 1292 | Qwen3.7 Plus |
| LMArena Vision: homework | 1210 | 1295 | Qwen3.7 Plus |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | GPT-5 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AIME | 91.5% | Not measured | Only GPT-5 Mini measured |
| MATH 500 (Vals AI) | 94.8% | Not measured | Only GPT-5 Mini measured |
| MGSM (Vals AI) | 92.6% | Not measured | Only GPT-5 Mini measured |
| AA Math Index | 90.7 | Not measured | Only GPT-5 Mini measured |
| AIME 2025 (Artificial Analysis run) | 90.7% | Not measured | Only GPT-5 Mini measured |
| OTIS Mock AIME | 86.7% | 93.3% | Qwen3.7 Plus |
| FrontierMath, tiers 1 to 3 | 46.7% | 34.4% | GPT-5 Mini |
| FrontierMath, tier 4 | 12.2% | Not measured | Only GPT-5 Mini measured |
| ProofBench | 9.0% | Not measured | Only GPT-5 Mini measured |
| MATH level 5 | 97.8% | Not measured | Only GPT-5 Mini measured |
| LMArena Text: math | 1378 | 1467 | Qwen3.7 Plus |
| LMArena Text: mathematical work | 1380 | 1470 | Qwen3.7 Plus |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | GPT-5 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 82.2% | Not measured | Only GPT-5 Mini measured |
| LegalBench (Vals AI) | 81.8% | Not measured | Only GPT-5 Mini measured |
| CaseLaw (Vals AI) | 68.5% | Not measured | Only GPT-5 Mini measured |
| CorpFin (Vals AI) | 60.2% | Not measured | Only GPT-5 Mini measured |
| TaxEval (Vals AI) | 75.2% | Not measured | Only GPT-5 Mini measured |
| MortgageTax (Vals AI) | 66.9% | 66.2% | GPT-5 Mini |
| MedQA (Vals AI) | 96.1% | Not measured | Only GPT-5 Mini measured |
| MedCode (Vals AI) | 43.0% | Not measured | Only GPT-5 Mini measured |
| MMLU Pro (Artificial Analysis run) | 83.7% | Not measured | Only GPT-5 Mini measured |
| SimpleQA Verified | 21.6% | Not measured | Only GPT-5 Mini measured |
| LMArena Text: science | 1371 | 1464 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1380 | 1464 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1375 | 1451 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1358 | 1435 | Qwen3.7 Plus |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | GPT-5 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1125 | 1269 | Qwen3.7 Plus |
| Design Arena: UI components | 1106 | 1261 | Qwen3.7 Plus |
| Design Arena: game dev | 1129 | 1262 | Qwen3.7 Plus |
| Design Arena: data viz | 1130 | 1275 | Qwen3.7 Plus |
| Design Arena: 3D | 1037 | 1239 | Qwen3.7 Plus |
| Design Arena: all code categories | 1115 | 1269 | Qwen3.7 Plus |
| Design Arena: SVG | 1091 | 1208 | Qwen3.7 Plus |
| Design Arena: ASCII art | 1124 | 1144 | Qwen3.7 Plus |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index127
| Benchmark | GPT-5 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 43.0% | 39.3% | GPT-5 Mini |
| MedScribe (Vals AI) | 80.6% | Not measured | Only GPT-5 Mini measured |
| Vals Multimodal Index | Not measured | 53.9% | Only Qwen3.7 Plus measured |
| IFBench | 75.4% | 78.0% | Qwen3.7 Plus |
| Long context reasoning (AA-LCR) | 72.3% | 73.0% | Qwen3.7 Plus |
| DTBench | 80.5% | 84.0% | Qwen3.7 Plus |
| LMCA | 34.2% | 37.6% | Qwen3.7 Plus |
| Fiction.LiveBench | 69.4% | Not measured | Only GPT-5 Mini measured |
| Creative writing (Lech Mazur) | 83.1% | Not measured | Only GPT-5 Mini measured |
| LMArena Text | 1373 | 1454 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1357 | 1439 | Qwen3.7 Plus |
| LMArena Text: creative writing | 1325 | 1438 | Qwen3.7 Plus |
| LMArena Vision | 1202 | 1278 | Qwen3.7 Plus |
| LMArena Text: English | 1379 | 1458 | Qwen3.7 Plus |
| LMArena Text: non-English | 1363 | 1445 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1386 | 1509 | Qwen3.7 Plus |
| LMArena Text: German | 1366 | 1471 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1341 | 1412 | Qwen3.7 Plus |
| LMArena Text: Korean | 1308 | 1413 | Qwen3.7 Plus |
| LMArena Text: French | 1386 | 1472 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1354 | 1457 | Qwen3.7 Plus |
| LMArena Text: Russian | 1362 | 1457 | Qwen3.7 Plus |
| LMArena Text: Polish | 1378 | 1449 | Qwen3.7 Plus |
| LMArena Text: multi-turn | 1363 | 1459 | Qwen3.7 Plus |
| LMArena Text: longer queries | 1355 | 1454 | Qwen3.7 Plus |
| LMArena Text: writing and language | 1344 | 1437 | Qwen3.7 Plus |
| LMArena Text: entertainment and media | 1340 | 1422 | Qwen3.7 Plus |
| LMArena Vision: English | 1216 | 1280 | Qwen3.7 Plus |
| LMArena Vision: Chinese | 1214 | 1332 | Qwen3.7 Plus |
| LMArena Vision: reading text | 1199 | 1288 | Qwen3.7 Plus |
| LMArena Vision: humor | 1205 | 1261 | Qwen3.7 Plus |
| LMArena Vision: captioning | 1217 | Not measured | Only GPT-5 Mini measured |
| LMArena Vision: recognizing things | 1226 | Not measured | Only GPT-5 Mini measured |
| LMArena Vision: creative writing | 1181 | 1258 | Qwen3.7 Plus |
| LMArena Document | Not measured | 1444 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Qwen3.7 Plus costs less
Repository review
50K input + 3K output tokens
GPT-5 Mini costs less
Agent loop
200K input + 10K output tokens
GPT-5 Mini costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-5 Mini | Qwen3.7 Plus |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | August 7, 2025 | June 3, 2026 |
| Context window | 400K | 1M |
| Input $/Mtok | $0.25 | $0.32 |
| Output $/Mtok | $2.00 | $1.28 |
| Coding index | 34.2 | 33.2 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $0.08 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5 Mini better than Qwen3.7 Plus for coding?
GPT-5 Mini and Qwen3.7 Plus are level for coding, 34.2 against 33.2 on the Vibe Coding Index, so price and context decide. Pick Qwen3.7 Plus when output tokens cost 1.6x less, or when the context window is larger, 1M against 400K tokens. Pick GPT-5 Mini when what matters is FrontierMath, tiers 1 to 3 or MortgageTax (Vals AI), where it leads.
Which is cheaper, GPT-5 Mini or Qwen3.7 Plus?
GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for GPT-5 Mini only.
Which has the bigger context window, GPT-5 Mini or Qwen3.7 Plus?
Qwen3.7 Plus, with 1M tokens against 400K.
How many benchmarks is the GPT-5 Mini vs Qwen3.7 Plus comparison based on?
62 benchmarks have a result for both models as of October 21, 2026. GPT-5 Mini's coding index rests on 2 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.