GPT-4.1 Mini vs Qwen3.5 Plus 2026-04-20
GPT-4.1 Mini and Qwen3.5 Plus 2026-04-20 cost about the same per output token ($1.60 vs $1.80 per million). Updated October 22, 2026; 17 benchmarks have a result for both.
GPT-4.1 Mini or Qwen3.5 Plus 2026-04-20: which to pick
Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding.
Pick GPT-4.1 Mini for output tokens 1.1x cheaper ($1.60 vs $1.80 per million) and a larger context window (1.05M against 1M tokens).
- Shared results
- 17
- GPT-4.1 Mini only
- 71
- Qwen3.5 Plus 2026-04-20 only
- 8
- Like-for-like categories
- 6 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
No call
Only Qwen3.5 Plus 2026-04-20 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only GPT-4.1 Mini has a AA Intelligence Index result, 10.2.
Directional only
Reasoning
GPQA Diamond
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20 leads, 87.4% against 67.9%.
Same board, both measured
Math
AIME
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20 leads, 86.0% against 49.4%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20 leads, 87.2% against 77.2%.
Same board, both measured
Web design
Design Arena: websites
No call
Only GPT-4.1 Mini has a Design Arena: websites result, 997.
Directional only
Long documents
Listed context window
GPT-4.1 Mini
GPT-4.1 Mini takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
No call
GPT-4.1 Mini $0.0012, Qwen3.5 Plus 2026-04-20 $0.0012 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Qwen3.5 Plus 2026-04-20
GPT-4.1 Mini $1.818, Qwen3.5 Plus 2026-04-20 $1.35.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-4.1 Mini not benchmarked, Qwen3.5 Plus 2026-04-20 39.5 from 2 benchmarks.
- Widest category
- Math, 39.3 points apart on average over 2 shared benchmarks.
- Widest single gap
- MMMU Pro (Vals AI): GPT-4.1 Mini 70.5% against Qwen3.5 Plus 2026-04-20 22.8%, 47.8 points apart on a 0 to 100 scale.
- Output price
- GPT-4.1 Mini $1.60 against Qwen3.5 Plus 2026-04-20 $1.80 per million output tokens, 1.1x apart.
- Context window
- GPT-4.1 Mini takes 1.05M tokens, Qwen3.5 Plus 2026-04-20 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-4.1 Mini | Bars | Qwen3.5 Plus 2026-04-20 | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 1 | 4 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 5 | ||
| General | 0 | 2 | ||
| All shared boards | 2 | 15 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | GPT-4.1 Mini | Qwen3.5 Plus 2026-04-20 | Leader |
|---|---|---|---|
| Aider polyglot | 32.4% | Not measured | Only GPT-4.1 Mini measured |
| SWE-bench Verified | 23.9% | Not measured | Only GPT-4.1 Mini measured |
| AA Coding Index | 20.2 | Not measured | Only GPT-4.1 Mini measured |
| LiveCodeBench (Vals AI) | 58.2% | 85.3% | Qwen3.5 Plus 2026-04-20 |
| SWE-bench Verified (Vals AI) | Not measured | 71.2% | Only Qwen3.5 Plus 2026-04-20 measured |
| Vibe Code Bench (Vals AI) | Not measured | 15.7% | Only Qwen3.5 Plus 2026-04-20 measured |
| LiveCodeBench (Artificial Analysis run) | 48.3% | Not measured | Only GPT-4.1 Mini measured |
| Terminal-Bench Hard (Artificial Analysis run) | 7.6% | Not measured | Only GPT-4.1 Mini measured |
| WeirdML | 37.6% | Not measured | Only GPT-4.1 Mini measured |
| ALE-Bench | Not measured | 608.9 | Only Qwen3.5 Plus 2026-04-20 measured |
| LMArena Text: coding | 1367 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: software and IT | 1360 | Not measured | Only GPT-4.1 Mini measured |
| Neither model has a result on the other 31 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4.1 Mini | Qwen3.5 Plus 2026-04-20 | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.2 | Not measured | Only GPT-4.1 Mini measured |
| Epoch Capabilities Index | 134.9 | 146.2 | Qwen3.5 Plus 2026-04-20 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | GPT-4.1 Mini | Qwen3.5 Plus 2026-04-20 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 52.9% | Not measured | Only GPT-4.1 Mini measured |
| Vending-Bench 2 | Not measured | $1 | Only Qwen3.5 Plus 2026-04-20 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 50.4% | Not measured | Only GPT-4.1 Mini measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | GPT-4.1 Mini | Qwen3.5 Plus 2026-04-20 | Leader |
|---|---|---|---|
| GPQA Diamond | 67.9% | 87.4% | Qwen3.5 Plus 2026-04-20 |
| MMMU Pro (Vals AI) | 70.5% | 22.8% | GPT-4.1 Mini |
| GPQA Diamond (Artificial Analysis run) | 66.4% | Not measured | Only GPT-4.1 Mini measured |
| Humanity's Last Exam (Artificial Analysis run) | 5.0% | Not measured | Only GPT-4.1 Mini measured |
| GPQA Diamond (Epoch AI run) | 65.8% | 84.8% | Qwen3.5 Plus 2026-04-20 |
| ARC-AGI | 3.5% | Not measured | Only GPT-4.1 Mini measured |
| ARC-AGI-2 | 0.0% | Not measured | Only GPT-4.1 Mini measured |
| Chess puzzles | 1.0% | 8.0% | Qwen3.5 Plus 2026-04-20 |
| Mystery game puzzles | 7.0% | 17.0% | Qwen3.5 Plus 2026-04-20 |
| LMArena Text: hard prompts | 1349 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: expert | 1338 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: hard prompts in English | 1362 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: diagrams | 1182 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: homework | 1214 | Not measured | Only GPT-4.1 Mini measured |
| Kagi LLM Benchmark | 48.6% | Not measured | Only GPT-4.1 Mini measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-4.1 Mini | Qwen3.5 Plus 2026-04-20 | Leader |
|---|---|---|---|
| AIME | 49.4% | 86.0% | Qwen3.5 Plus 2026-04-20 |
| MATH 500 (Vals AI) | 88.0% | Not measured | Only GPT-4.1 Mini measured |
| MGSM (Vals AI) | 87.8% | Not measured | Only GPT-4.1 Mini measured |
| AA Math Index | 46.3 | Not measured | Only GPT-4.1 Mini measured |
| AIME 2025 (Artificial Analysis run) | 46.3% | Not measured | Only GPT-4.1 Mini measured |
| OTIS Mock AIME | 44.7% | 86.7% | Qwen3.5 Plus 2026-04-20 |
| FrontierMath, tiers 1 to 3 | 6.7% | Not measured | Only GPT-4.1 Mini measured |
| MATH level 5 | 87.3% | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: math | 1343 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: mathematical work | 1347 | Not measured | Only GPT-4.1 Mini measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | GPT-4.1 Mini | Qwen3.5 Plus 2026-04-20 | Leader |
|---|---|---|---|
| MMLU Pro | 77.2% | 87.2% | Qwen3.5 Plus 2026-04-20 |
| LegalBench (Vals AI) | 78.0% | 85.1% | Qwen3.5 Plus 2026-04-20 |
| CaseLaw (Vals AI) | Not measured | 59.7% | Only Qwen3.5 Plus 2026-04-20 measured |
| CorpFin (Vals AI) | 57.9% | 65.3% | Qwen3.5 Plus 2026-04-20 |
| TaxEval (Vals AI) | 71.9% | Not measured | Only GPT-4.1 Mini measured |
| MortgageTax (Vals AI) | 65.5% | 60.8% | GPT-4.1 Mini |
| MedQA (Vals AI) | 84.6% | 95.2% | Qwen3.5 Plus 2026-04-20 |
| MMLU Pro (Artificial Analysis run) | 78.1% | Not measured | Only GPT-4.1 Mini measured |
| SimpleQA Verified | 12.7% | 25.4% | Qwen3.5 Plus 2026-04-20 |
| LMArena Text: science | 1328 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: medicine and healthcare | 1324 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: legal and government | 1343 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: business and finance | 1322 | Not measured | Only GPT-4.1 Mini measured |
| PRBench Finance | 30.4% | Not measured | Only GPT-4.1 Mini measured |
| PRBench Legal | 30.4% | Not measured | Only GPT-4.1 Mini measured |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-4.1 Mini | Qwen3.5 Plus 2026-04-20 | Leader |
|---|---|---|---|
| Design Arena: websites | 997 | Not measured | Only GPT-4.1 Mini measured |
| Design Arena: UI components | 959 | Not measured | Only GPT-4.1 Mini measured |
| Design Arena: game dev | 1070 | Not measured | Only GPT-4.1 Mini measured |
| Design Arena: data viz | 1034 | Not measured | Only GPT-4.1 Mini measured |
| Design Arena: 3D | 836 | Not measured | Only GPT-4.1 Mini measured |
| Design Arena: all code categories | 993 | Not measured | Only GPT-4.1 Mini measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-4.1 Mini | Qwen3.5 Plus 2026-04-20 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 30.4% | Only Qwen3.5 Plus 2026-04-20 measured |
| IFBench | 38.3% | Not measured | Only GPT-4.1 Mini measured |
| Long context reasoning (AA-LCR) | 44.0% | Not measured | Only GPT-4.1 Mini measured |
| DTBench | 68.8% | 80.5% | Qwen3.5 Plus 2026-04-20 |
| LMCA | 21.1% | 36.4% | Qwen3.5 Plus 2026-04-20 |
| Fiction.LiveBench | 44.4% | Not measured | Only GPT-4.1 Mini measured |
| CL-bench | Not measured | 19.8% | Only Qwen3.5 Plus 2026-04-20 measured |
| CL-bench Life | Not measured | 12.4% | Only Qwen3.5 Plus 2026-04-20 measured |
| LMArena Text | 1341 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: instruction following | 1333 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: creative writing | 1299 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision | 1181 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: English | 1356 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: non-English | 1318 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: Chinese | 1329 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: German | 1350 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: Japanese | 1290 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: Korean | 1298 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: French | 1358 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: Spanish | 1319 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: Russian | 1324 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: Polish | 1326 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: multi-turn | 1354 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: longer queries | 1344 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: writing and language | 1319 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: entertainment and media | 1300 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: English | 1191 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: Chinese | 1186 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: reading text | 1188 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: humor | 1182 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: captioning | 1174 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: recognizing things | 1187 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: creative writing | 1182 | Not measured | Only GPT-4.1 Mini 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-4.1 Mini | Qwen3.5 Plus 2026-04-20 | 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
Same cost
Repository review
50K input + 3K output tokens
Qwen3.5 Plus 2026-04-20 costs less
Agent loop
200K input + 10K output tokens
Qwen3.5 Plus 2026-04-20 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-4.1 Mini | Qwen3.5 Plus 2026-04-20 |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | April 14, 2025 | April 27, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $0.40 | $0.30 |
| Output $/Mtok | $1.60 | $1.80 |
| Coding index | Not benchmarked | 39.5 |
| Independent measurements behind it | 0 | 2 |
| Cost per solved task | $1.818 | $1.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4.1 Mini better than Qwen3.5 Plus 2026-04-20 for coding?
Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for output tokens 1.1x cheaper ($1.60 vs $1.80 per million) and a larger context window (1.05M against 1M tokens).
Which is cheaper, GPT-4.1 Mini or Qwen3.5 Plus 2026-04-20?
GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Qwen3.5 Plus 2026-04-20 costs $0.30 and $1.80. Per solved SWE-bench Verified task, GPT-4.1 Mini costs $1.818 and Qwen3.5 Plus 2026-04-20 $1.35.
Which has the bigger context window, GPT-4.1 Mini or Qwen3.5 Plus 2026-04-20?
GPT-4.1 Mini, with 1.05M tokens against 1M.
How many benchmarks is the GPT-4.1 Mini vs Qwen3.5 Plus 2026-04-20 comparison based on?
17 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Mini's coding index rests on 0 independent benchmarks and Qwen3.5 Plus 2026-04-20's on 2. Where only one model has a result, the page says so instead of naming a winner.