GPT-4.1 Mini vs Mistral Medium 3
GPT-4.1 Mini leads Mistral Medium 3 on the Artificial Analysis Intelligence Index, 10.2 to 9.0, and GPT-4.1 Mini costs 1.3x less per output token ($1.60 vs $2.00 per million). Updated October 21, 2026; 57 benchmarks have a result for both.
GPT-4.1 Mini or Mistral Medium 3: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-4.1 Mini for output tokens 1.3x cheaper ($1.60 vs $2.00 per million) and a larger context window (1.05M against 131K tokens).
- Shared results
- 57
- GPT-4.1 Mini only
- 27
- Mistral Medium 3 only
- 0
- Like-for-like categories
- 8 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
GPT-4.1 Mini
GPT-4.1 Mini leads, 10.2 against 9.0.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only GPT-4.1 Mini has a GPQA Diamond result, 67.9%.
Directional only
Math
AIME
No call
Only GPT-4.1 Mini has a AIME result, 49.4%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-4.1 Mini has a MMLU Pro result, 77.2%.
Directional only
Web design
Design Arena: websites
Mistral Medium 3
Mistral Medium 3 leads, 1079 against 997.
Same board, both measured
Long documents
Listed context window
GPT-4.1 Mini
GPT-4.1 Mini takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-4.1 Mini
GPT-4.1 Mini $0.0012, Mistral Medium 3 $0.0014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-4.1 Mini has the number, $1.818.
Directional only
At a glance
- Coding index
- GPT-4.1 Mini not benchmarked, Mistral Medium 3 not benchmarked.
- Widest category
- Agentic work, 28.7 points apart on average over 1 shared benchmark.
- Widest single gap
- Design Arena: 3D: GPT-4.1 Mini 837 against Mistral Medium 3 1084, 30.9 points apart on a 0 to 100 scale.
- Output price
- GPT-4.1 Mini $1.60 against Mistral Medium 3 $2.00 per million output tokens, 1.3x apart.
- Context window
- GPT-4.1 Mini takes 1.05M tokens, Mistral Medium 3 131K.
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 | Mistral Medium 3 | Ties |
|---|---|---|---|---|
| Coding | 2 | 2 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 4 | 3 | ||
| Math | 2 | 2 | ||
| Knowledge | 1 | 4 | ||
| Web design | 1 | 4 | 1 tie | |
| General | 10 | 18 | ||
| All shared boards | 23 | 33 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
| Benchmark | GPT-4.1 Mini | Mistral Medium 3 | 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% | Not measured | Only GPT-4.1 Mini measured |
| LiveCodeBench (Artificial Analysis run) | 48.3% | 40.0% | GPT-4.1 Mini |
| Terminal-Bench Hard (Artificial Analysis run) | 7.6% | 3.8% | GPT-4.1 Mini |
| WeirdML | 37.6% | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: coding | 1367 | 1385 | Mistral Medium 3 |
| LMArena Text: software and IT | 1360 | 1385 | Mistral Medium 3 |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-4.1 Mini | Mistral Medium 3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.2 | 9.0 | GPT-4.1 Mini |
| Epoch Capabilities Index | 134.9 | 134.0 | GPT-4.1 Mini |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-4.1 Mini | Mistral Medium 3 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 52.9% | 24.3% | GPT-4.1 Mini |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index43
| Benchmark | GPT-4.1 Mini | Mistral Medium 3 | Leader |
|---|---|---|---|
| GPQA Diamond | 67.9% | Not measured | Only GPT-4.1 Mini measured |
| MMMU Pro (Vals AI) | 70.5% | Not measured | Only GPT-4.1 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 66.4% | 57.8% | GPT-4.1 Mini |
| Humanity's Last Exam (Artificial Analysis run) | 5.0% | 4.1% | GPT-4.1 Mini |
| GPQA Diamond (Epoch AI run) | 65.8% | Not measured | Only GPT-4.1 Mini measured |
| 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% | Not measured | Only GPT-4.1 Mini measured |
| Mystery game puzzles | 7.0% | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: hard prompts | 1349 | 1364 | Mistral Medium 3 |
| LMArena Text: expert | 1338 | 1342 | Mistral Medium 3 |
| LMArena Text: hard prompts in English | 1362 | 1374 | Mistral Medium 3 |
| LMArena Vision: diagrams | 1182 | 1155 | GPT-4.1 Mini |
| LMArena Vision: homework | 1214 | 1165 | GPT-4.1 Mini |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | GPT-4.1 Mini | Mistral Medium 3 | Leader |
|---|---|---|---|
| AIME | 49.4% | Not measured | Only GPT-4.1 Mini measured |
| 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 | 30.3 | GPT-4.1 Mini |
| AIME 2025 (Artificial Analysis run) | 46.3% | 30.3% | GPT-4.1 Mini |
| OTIS Mock AIME | 44.7% | Not measured | Only GPT-4.1 Mini measured |
| 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 | 1353 | Mistral Medium 3 |
| LMArena Text: mathematical work | 1347 | 1354 | Mistral Medium 3 |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | GPT-4.1 Mini | Mistral Medium 3 | Leader |
|---|---|---|---|
| MMLU Pro | 77.2% | Not measured | Only GPT-4.1 Mini measured |
| LegalBench (Vals AI) | 78.0% | Not measured | Only GPT-4.1 Mini measured |
| CorpFin (Vals AI) | 57.9% | Not measured | Only GPT-4.1 Mini measured |
| TaxEval (Vals AI) | 71.9% | Not measured | Only GPT-4.1 Mini measured |
| MortgageTax (Vals AI) | 65.5% | Not measured | Only GPT-4.1 Mini measured |
| MedQA (Vals AI) | 84.6% | Not measured | Only GPT-4.1 Mini measured |
| MMLU Pro (Artificial Analysis run) | 78.1% | 76.0% | GPT-4.1 Mini |
| SimpleQA Verified | 12.7% | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: science | 1328 | 1381 | Mistral Medium 3 |
| LMArena Text: medicine and healthcare | 1324 | 1381 | Mistral Medium 3 |
| LMArena Text: legal and government | 1343 | 1384 | Mistral Medium 3 |
| LMArena Text: business and finance | 1322 | 1352 | Mistral Medium 3 |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | GPT-4.1 Mini | Mistral Medium 3 | Leader |
|---|---|---|---|
| Design Arena: websites | 997 | 1079 | Mistral Medium 3 |
| Design Arena: UI components | 961 | 1024 | Mistral Medium 3 |
| Design Arena: game dev | 1071 | 1018 | GPT-4.1 Mini |
| Design Arena: data viz | 1034 | 1034 | Tie |
| Design Arena: 3D | 837 | 1084 | Mistral Medium 3 |
| Design Arena: all code categories | 994 | 1069 | Mistral Medium 3 |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index1018
| Benchmark | GPT-4.1 Mini | Mistral Medium 3 | Leader |
|---|---|---|---|
| IFBench | 38.3% | 39.3% | Mistral Medium 3 |
| Long context reasoning (AA-LCR) | 44.0% | 31.3% | GPT-4.1 Mini |
| DTBench | 68.8% | 62.3% | GPT-4.1 Mini |
| LMCA | 21.1% | Not measured | Only GPT-4.1 Mini measured |
| Fiction.LiveBench | 44.4% | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text | 1341 | 1370 | Mistral Medium 3 |
| LMArena Text: instruction following | 1333 | 1338 | Mistral Medium 3 |
| LMArena Text: creative writing | 1299 | 1343 | Mistral Medium 3 |
| LMArena Vision | 1181 | 1157 | GPT-4.1 Mini |
| LMArena Text: English | 1356 | 1385 | Mistral Medium 3 |
| LMArena Text: non-English | 1318 | 1353 | Mistral Medium 3 |
| LMArena Text: Chinese | 1329 | 1374 | Mistral Medium 3 |
| LMArena Text: German | 1350 | 1377 | Mistral Medium 3 |
| LMArena Text: Japanese | 1290 | 1316 | Mistral Medium 3 |
| LMArena Text: Korean | 1298 | 1304 | Mistral Medium 3 |
| LMArena Text: French | 1358 | 1368 | Mistral Medium 3 |
| LMArena Text: Spanish | 1319 | 1364 | Mistral Medium 3 |
| LMArena Text: Russian | 1324 | 1359 | Mistral Medium 3 |
| LMArena Text: Polish | 1326 | 1371 | Mistral Medium 3 |
| LMArena Text: multi-turn | 1354 | 1384 | Mistral Medium 3 |
| LMArena Text: longer queries | 1344 | 1360 | Mistral Medium 3 |
| LMArena Text: writing and language | 1319 | 1352 | Mistral Medium 3 |
| LMArena Text: entertainment and media | 1300 | 1335 | Mistral Medium 3 |
| LMArena Vision: English | 1191 | 1172 | GPT-4.1 Mini |
| LMArena Vision: Chinese | 1186 | 1161 | GPT-4.1 Mini |
| LMArena Vision: reading text | 1188 | 1154 | GPT-4.1 Mini |
| LMArena Vision: humor | 1182 | 1145 | GPT-4.1 Mini |
| LMArena Vision: captioning | 1174 | 1094 | GPT-4.1 Mini |
| LMArena Vision: recognizing things | 1187 | 1141 | GPT-4.1 Mini |
| LMArena Vision: creative writing | 1182 | 1146 | GPT-4.1 Mini |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4.1 Mini | Mistral Medium 3 | 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
GPT-4.1 Mini costs less
Repository review
50K input + 3K output tokens
GPT-4.1 Mini costs less
Agent loop
200K input + 10K output tokens
GPT-4.1 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-4.1 Mini | Mistral Medium 3 |
|---|---|---|
| Maker | OpenAI | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | April 14, 2025 | May 7, 2025 |
| Context window | 1.05M | 131K |
| Input $/Mtok | $0.40 | $0.40 |
| Output $/Mtok | $1.60 | $2.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | $1.818 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4.1 Mini better than Mistral Medium 3 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for output tokens 1.3x cheaper ($1.60 vs $2.00 per million) and a larger context window (1.05M against 131K tokens).
Which is cheaper, GPT-4.1 Mini or Mistral Medium 3?
GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Mistral Medium 3 costs $0.40 and $2.00. Cost per solved task is known for GPT-4.1 Mini only.
Which has the bigger context window, GPT-4.1 Mini or Mistral Medium 3?
GPT-4.1 Mini, with 1.05M tokens against 131K.
How many benchmarks is the GPT-4.1 Mini vs Mistral Medium 3 comparison based on?
57 benchmarks have a result for both models as of October 21, 2026. GPT-4.1 Mini's coding index rests on 0 independent benchmarks and Mistral Medium 3's on 0. Where only one model has a result, the page says so instead of naming a winner.