GPT-5.4 Mini vs Qwen3.7 Plus
GPT-5.4 Mini leads Qwen3.7 Plus on coding, 35.8 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 3.5x less per output token ($1.28 vs $4.50 per million). Updated October 21, 2026; 64 benchmarks have a result for both.
GPT-5.4 Mini or Qwen3.7 Plus: which to pick
Pick GPT-5.4 Mini for coding: it scores 35.8 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.
Pick Qwen3.7 Plus for output tokens 3.5x cheaper ($1.28 vs $4.50 per million) and a larger context window (1M against 400K tokens).
- Shared results
- 64
- GPT-5.4 Mini only
- 24
- Qwen3.7 Plus only
- 11
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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
GPT-5.4 Mini
GPT-5.4 Mini scores 35.8 against 33.2.
5 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 25.2 against 24.1.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.4 Mini
GPT-5.4 Mini leads, 17.9 against 17.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only GPT-5.4 Mini has a GPQA Diamond result, 83.1%.
Directional only
Math
AIME
No call
Only GPT-5.4 Mini has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.4 Mini has a MMLU Pro result, 84.5%.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3.7 Plus has a Design Arena: websites result, 1269.
Directional only
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-5.4 Mini $0.0030, Qwen3.7 Plus $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.4 Mini has the number, $0.70.
Directional only
At a glance
- Coding index
- GPT-5.4 Mini 35.8 from 5 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- Math, 9.1 points apart on average over 4 shared benchmarks.
- Widest single gap
- FrontierCode: GPT-5.4 Mini 27.0% against Qwen3.7 Plus 10.2%, 25.9 points apart on a 0 to 100 scale.
- Output price
- GPT-5.4 Mini $4.50 against Qwen3.7 Plus $1.28 per million output tokens, 3.5x apart.
- Context window
- GPT-5.4 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-5.4 Mini | Bars | Qwen3.7 Plus | Ties |
|---|---|---|---|---|
| Coding | 7 | 2 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 2 | 4 | ||
| Reasoning | 0 | 9 | ||
| Math | 1 | 3 | ||
| Knowledge | 0 | 5 | ||
| General | 4 | 25 | ||
| All shared boards | 15 | 49 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index72
| Benchmark | GPT-5.4 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LMArena WebDev | 1397 | Not measured | Only GPT-5.4 Mini measured |
| AA Coding Index | 56.1 | 55.9 | GPT-5.4 Mini |
| LiveCodeBench (Vals AI) | 81.5% | Not measured | Only GPT-5.4 Mini measured |
| SWE-bench Verified (Vals AI) | 73.0% | Not measured | Only GPT-5.4 Mini measured |
| Terminal-Bench 4 (Vals AI) | 2.5% | Not measured | Only GPT-5.4 Mini measured |
| Vibe Code Bench (Vals AI) | 48.0% | 46.4% | GPT-5.4 Mini |
| Code migration (Vals AI) | 12.9% | 12.9% | GPT-5.4 Mini |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only GPT-5.4 Mini measured |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | 52.8% | GPT-5.4 Mini |
| SkillsBench (Vals AI) | Not measured | 54.3% | Only Qwen3.7 Plus measured |
| SciCode | 52.1% | 46.1% | GPT-5.4 Mini |
| Terminal-Bench Hard (Artificial Analysis run) | 52.3% | 47.0% | GPT-5.4 Mini |
| FrontierCode | 27.0% | 10.2% | GPT-5.4 Mini |
| WeirdML | 60.3% | Not measured | Only GPT-5.4 Mini measured |
| ALE-Bench | 1188.6 | Not measured | Only GPT-5.4 Mini measured |
| LMArena Text: coding | 1438 | 1473 | Qwen3.7 Plus |
| LMArena Text: software and IT | 1436 | 1473 | Qwen3.7 Plus |
| LMArena WebDev: React | 1386 | Not measured | Only GPT-5.4 Mini measured |
| LMArena WebDev: HTML | 1419 | Not measured | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | GPT-5.4 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.1 | 25.2 | Qwen3.7 Plus |
| Epoch Capabilities Index | 148.7 | 147.0 | GPT-5.4 Mini |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | GPT-5.4 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | 17.9 | 17.5 | GPT-5.4 Mini |
| Finance Agent (Vals AI) | 45.4% | 38.2% | GPT-5.4 Mini |
| Tax Agent Bench (Vals AI) | 8.8% | 10.5% | Qwen3.7 Plus |
| Legal Research Bench (Vals AI) | 12.5% | 16.4% | Qwen3.7 Plus |
| Excel Modeling Benchmark (Vals AI) | 45.4% | 49.3% | Qwen3.7 Plus |
| τ²-Bench Telecom | 83.3% | 93.0% | Qwen3.7 Plus |
| OSWorld 2.0 | Not measured | 2.8% | Only Qwen3.7 Plus measured |
| DeepResearch Bench | 36.3% | Not measured | Only GPT-5.4 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-5.4 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | 83.1% | Not measured | Only GPT-5.4 Mini measured |
| MMMU Pro (Vals AI) | 79.3% | Not measured | Only GPT-5.4 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 87.5% | 90.0% | Qwen3.7 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 28.1% | 35.6% | Qwen3.7 Plus |
| GPQA Diamond (Epoch AI run) | 86.9% | 87.9% | Qwen3.7 Plus |
| ARC-AGI | 63.7% | Not measured | Only GPT-5.4 Mini measured |
| ARC-AGI-2 | 18.9% | Not measured | Only GPT-5.4 Mini measured |
| Chess puzzles | 23.0% | Not measured | Only GPT-5.4 Mini measured |
| Mystery game puzzles | 11.0% | 17.0% | Qwen3.7 Plus |
| LMArena Text: hard prompts | 1424 | 1460 | Qwen3.7 Plus |
| LMArena Text: expert | 1435 | 1466 | Qwen3.7 Plus |
| LMArena Text: hard prompts in English | 1420 | 1460 | Qwen3.7 Plus |
| LMArena Vision: diagrams | 1266 | 1292 | Qwen3.7 Plus |
| LMArena Vision: homework | 1285 | 1295 | Qwen3.7 Plus |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | GPT-5.4 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AIME | 95.6% | Not measured | Only GPT-5.4 Mini measured |
| OTIS Mock AIME | 88.9% | 93.3% | Qwen3.7 Plus |
| FrontierMath, tiers 1 to 3 | 51.2% | 34.4% | GPT-5.4 Mini |
| FrontierMath, tier 4 | 9.8% | Not measured | Only GPT-5.4 Mini measured |
| ProofBench | 21.0% | Not measured | Only GPT-5.4 Mini measured |
| LMArena Text: math | 1418 | 1467 | Qwen3.7 Plus |
| LMArena Text: mathematical work | 1429 | 1470 | Qwen3.7 Plus |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | GPT-5.4 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 84.5% | Not measured | Only GPT-5.4 Mini measured |
| CaseLaw (Vals AI) | 51.7% | Not measured | Only GPT-5.4 Mini measured |
| CorpFin (Vals AI) | 60.9% | Not measured | Only GPT-5.4 Mini measured |
| TaxEval (Vals AI) | 71.2% | Not measured | Only GPT-5.4 Mini measured |
| MortgageTax (Vals AI) | 63.5% | 66.2% | Qwen3.7 Plus |
| SimpleQA Verified | 29.4% | Not measured | Only GPT-5.4 Mini measured |
| LMArena Text: science | 1417 | 1464 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1395 | 1464 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1414 | 1451 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1418 | 1435 | Qwen3.7 Plus |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | GPT-5.4 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1269 | Only Qwen3.7 Plus measured |
| Design Arena: UI components | Not measured | 1261 | Only Qwen3.7 Plus measured |
| Design Arena: game dev | Not measured | 1262 | Only Qwen3.7 Plus measured |
| Design Arena: data viz | Not measured | 1276 | Only Qwen3.7 Plus measured |
| Design Arena: 3D | Not measured | 1239 | Only Qwen3.7 Plus measured |
| Design Arena: all code categories | Not measured | 1269 | Only Qwen3.7 Plus measured |
| Design Arena: SVG | Not measured | 1208 | Only Qwen3.7 Plus measured |
| Design Arena: ASCII art | Not measured | 1143 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index425
| Benchmark | GPT-5.4 Mini | Qwen3.7 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 50.8% | 39.3% | GPT-5.4 Mini |
| Vals Multimodal Index | 54.2% | 53.9% | GPT-5.4 Mini |
| IFBench | 73.3% | 78.0% | Qwen3.7 Plus |
| Long context reasoning (AA-LCR) | 77.0% | 73.0% | GPT-5.4 Mini |
| DTBench | 80.0% | 84.0% | Qwen3.7 Plus |
| LMCA | 40.8% | 37.6% | GPT-5.4 Mini |
| LMArena Text | 1412 | 1454 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1405 | 1439 | Qwen3.7 Plus |
| LMArena Text: creative writing | 1370 | 1438 | Qwen3.7 Plus |
| LMArena Vision | 1245 | 1278 | Qwen3.7 Plus |
| LMArena Text: English | 1412 | 1458 | Qwen3.7 Plus |
| LMArena Text: non-English | 1405 | 1445 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1446 | 1509 | Qwen3.7 Plus |
| LMArena Text: German | 1408 | 1471 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1375 | 1412 | Qwen3.7 Plus |
| LMArena Text: Korean | 1370 | 1413 | Qwen3.7 Plus |
| LMArena Text: French | 1441 | 1472 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1405 | 1457 | Qwen3.7 Plus |
| LMArena Text: Russian | 1417 | 1457 | Qwen3.7 Plus |
| LMArena Text: Polish | 1415 | 1449 | Qwen3.7 Plus |
| LMArena Text: multi-turn | 1429 | 1459 | Qwen3.7 Plus |
| LMArena Text: longer queries | 1408 | 1454 | Qwen3.7 Plus |
| LMArena Text: writing and language | 1393 | 1437 | Qwen3.7 Plus |
| LMArena Text: entertainment and media | 1373 | 1422 | Qwen3.7 Plus |
| LMArena Vision: English | 1244 | 1280 | Qwen3.7 Plus |
| LMArena Vision: Chinese | 1286 | 1332 | Qwen3.7 Plus |
| LMArena Vision: reading text | 1253 | 1288 | Qwen3.7 Plus |
| LMArena Vision: humor | 1235 | 1261 | Qwen3.7 Plus |
| LMArena Vision: recognizing things | 1218 | Not measured | Only GPT-5.4 Mini measured |
| LMArena Vision: creative writing | 1222 | 1258 | Qwen3.7 Plus |
| LMArena Document | Not measured | 1444 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.4 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
Qwen3.7 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.7 Plus 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-5.4 Mini | Qwen3.7 Plus |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | March 17, 2026 | June 3, 2026 |
| Context window | 400K | 1M |
| Input $/Mtok | $0.75 | $0.32 |
| Output $/Mtok | $4.50 | $1.28 |
| Coding index | 35.8 | 33.2 |
| Independent measurements behind it | 5 | 2 |
| Cost per solved task | $0.70 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.4 Mini better than Qwen3.7 Plus for coding?
Pick GPT-5.4 Mini for coding: it scores 35.8 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 3.5x cheaper ($1.28 vs $4.50 per million) and a larger context window (1M against 400K tokens).
Which is cheaper, GPT-5.4 Mini or Qwen3.7 Plus?
GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for GPT-5.4 Mini only.
Which has the bigger context window, GPT-5.4 Mini or Qwen3.7 Plus?
Qwen3.7 Plus, with 1M tokens against 400K.
How many benchmarks is the GPT-5.4 Mini vs Qwen3.7 Plus comparison based on?
64 benchmarks have a result for both models as of October 21, 2026. GPT-5.4 Mini's coding index rests on 5 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.