Mistral Medium 3.1 vs Inkling
Inkling leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 25.0 to 9.2, and Mistral Medium 3.1 costs 2.0x less per output token ($2.00 vs $4.05 per million). Updated October 21, 2026; 53 benchmarks have a result for both.
Mistral Medium 3.1 or Inkling: which to pick
Only Inkling has a coding score, 31.5 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.
Pick Mistral Medium 3.1 for output tokens 2.0x cheaper ($2.00 vs $4.05 per million) and work measured by LMArena Text: medicine and healthcare or LMArena Text: creative writing, where it leads.
- Shared results
- 53
- Mistral Medium 3.1 only
- 21
- Inkling only
- 49
- 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
Only Inkling has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Inkling
Inkling leads, 25.0 against 9.2.
Same board, both measured
Agentic work
AA Agentic Index
Inkling
Inkling leads, 22.5 against 1.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Inkling has a GPQA Diamond result, 87.1%.
Directional only
Math
AIME
No call
Only Mistral Medium 3.1 has a AIME result, 42.3%.
Directional only
Knowledge
MMLU Pro
Inkling
Inkling leads, 86.3% against 75.3%.
Same board, both measured
Web design
Design Arena: websites
Inkling
Inkling leads, 1224 against 1133.
Same board, both measured
General
Vals Index
No call
Only Inkling has a Vals Index result, 29.0%.
Directional only
Long documents
Listed context window
Inkling
Inkling takes 524K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Medium 3.1
Mistral Medium 3.1 $0.0014, Inkling $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Inkling has the number, $0.76.
Directional only
At a glance
- Coding index
- Mistral Medium 3.1 not benchmarked, Inkling 31.5 from 6 benchmarks.
- Widest category
- Agentic work, 20.6 points apart on average over 1 shared benchmark.
- Widest single gap
- LiveCodeBench (Vals AI): Mistral Medium 3.1 44.8% against Inkling 85.5%, 40.7 points apart on a 0 to 100 scale.
- Output price
- Mistral Medium 3.1 $2.00 against Inkling $4.05 per million output tokens, 2.0x apart.
- Context window
- Mistral Medium 3.1 takes 131K tokens, Inkling 524K.
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 | Mistral Medium 3.1 | Bars | Inkling | Ties |
|---|---|---|---|---|
| Coding | 0 | 6 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 8 | ||
| Web design | 0 | 8 | ||
| General | 2 | 18 | ||
| All shared boards | 3 | 50 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
| Benchmark | Mistral Medium 3.1 | Inkling | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 64.0% | Only Inkling measured |
| LMArena WebDev | Not measured | 1414 | Only Inkling measured |
| AA Coding Index | 20.5 | 52.1 | Inkling |
| LiveCodeBench (Vals AI) | 44.8% | 85.5% | Inkling |
| SWE-bench Verified (Vals AI) | Not measured | 77.6% | Only Inkling measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.5% | Only Inkling measured |
| Vibe Code Bench (Vals AI) | Not measured | 19.2% | Only Inkling measured |
| Code migration (Vals AI) | Not measured | 11.8% | Only Inkling measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| IOI (Vals AI) | Not measured | 14.9% | Only Inkling measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 47.6% | Only Inkling measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 7.3% | Only Inkling measured |
| SkillsBench (Vals AI) | Not measured | 26.1% | Only Inkling measured |
| CyberBench (Vals AI) | Not measured | 66.8% | Only Inkling measured |
| LiveCodeBench (Artificial Analysis run) | 40.6% | Not measured | Only Mistral Medium 3.1 measured |
| SciCode | 32.4% | 47.0% | Inkling |
| Terminal-Bench Hard (Artificial Analysis run) | 10.6% | Not measured | Only Mistral Medium 3.1 measured |
| FrontierCode | Not measured | 14.0% | Only Inkling measured |
| FrontierSWE | Not measured | 4.1% | Only Inkling measured |
| WeirdML | Not measured | 32.3% | Only Inkling measured |
| ALE-Bench | 210.2 | 946.0 | Inkling |
| LMArena Text: coding | 1433 | 1466 | Inkling |
| LMArena Text: software and IT | 1436 | 1465 | Inkling |
| LMArena WebDev: React | Not measured | 1404 | Only Inkling measured |
| LMArena WebDev: HTML | Not measured | 1399 | Only Inkling measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Medium 3.1 | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.2 | 25.0 | Inkling |
| Epoch Capabilities Index | Not measured | 148.4 | Only Inkling measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Medium 3.1 | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | 1.9 | 22.5 | Inkling |
| Design Arena: agents building web apps | Not measured | 1196 | Only Inkling measured |
| LiveBench research | Not measured | 59.9% | Only Inkling measured |
| LiveBench browser | Not measured | 16.0% | Only Inkling measured |
| LiveBench long agentic | Not measured | 14.1% | Only Inkling measured |
| SREBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| Finance Agent (Vals AI) | Not measured | 46.6% | Only Inkling measured |
| Tax Agent Bench (Vals AI) | Not measured | 15.3% | Only Inkling measured |
| Legal Research Bench (Vals AI) | Not measured | 28.4% | Only Inkling measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 3.8% | Only Inkling measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 38.4% | Only Inkling measured |
| τ²-Bench Telecom | 40.6% | Not measured | Only Mistral Medium 3.1 measured |
| APEX-Agents | Not measured | 33.8% | Only Inkling measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Mistral Medium 3.1 | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 87.1% | Only Inkling measured |
| LiveBench reasoning | Not measured | 78.3% | Only Inkling measured |
| MMMU Pro (Vals AI) | 63.0% | 78.5% | Inkling |
| GPQA Diamond (Artificial Analysis run) | 58.8% | 87.2% | Inkling |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 31.9% | Inkling |
| GPQA Diamond (Epoch AI run) | Not measured | 88.3% | Only Inkling measured |
| ARC-AGI | Not measured | 79.5% | Only Inkling measured |
| ARC-AGI-2 | Not measured | 36.5% | Only Inkling measured |
| SimpleBench | Not measured | 50.0% | Only Inkling measured |
| Chess puzzles | Not measured | 21.0% | Only Inkling measured |
| LMArena Text: hard prompts | 1426 | 1451 | Inkling |
| LMArena Text: expert | 1408 | 1466 | Inkling |
| LMArena Text: hard prompts in English | 1435 | 1448 | Inkling |
| LMArena Vision: diagrams | 1175 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: homework | 1165 | Not measured | Only Mistral Medium 3.1 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Medium 3.1 | Inkling | Leader |
|---|---|---|---|
| AIME | 42.3% | Not measured | Only Mistral Medium 3.1 measured |
| MATH 500 (Vals AI) | 87.0% | Not measured | Only Mistral Medium 3.1 measured |
| MGSM (Vals AI) | 90.9% | Not measured | Only Mistral Medium 3.1 measured |
| AA Math Index | 38.3 | Not measured | Only Mistral Medium 3.1 measured |
| AIME 2025 (Artificial Analysis run) | 38.3% | Not measured | Only Mistral Medium 3.1 measured |
| OTIS Mock AIME | Not measured | 88.9% | Only Inkling measured |
| FrontierMath, tiers 1 to 3 | Not measured | 33.3% | Only Inkling measured |
| FrontierMath, tier 4 | Not measured | 4.9% | Only Inkling measured |
| ProofBench | Not measured | 0.0% | Only Inkling measured |
| LMArena Text: math | 1408 | 1479 | Inkling |
| LMArena Text: mathematical work | 1412 | 1460 | Inkling |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index18
| Benchmark | Mistral Medium 3.1 | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | 75.3% | 86.3% | Inkling |
| LegalBench (Vals AI) | 62.0% | 83.0% | Inkling |
| CorpFin (Vals AI) | 50.7% | 68.6% | Inkling |
| TaxEval (Vals AI) | 70.3% | 75.3% | Inkling |
| MortgageTax (Vals AI) | 36.5% | 64.0% | Inkling |
| MedQA (Vals AI) | 78.2% | Not measured | Only Mistral Medium 3.1 measured |
| MedCode (Vals AI) | Not measured | 41.2% | Only Inkling measured |
| MMLU Pro (Artificial Analysis run) | 68.3% | Not measured | Only Mistral Medium 3.1 measured |
| SimpleQA Verified | Not measured | 40.3% | Only Inkling measured |
| LMArena Text: science | 1444 | 1455 | Inkling |
| LMArena Text: medicine and healthcare | 1449 | 1447 | Mistral Medium 3.1 |
| LMArena Text: legal and government | 1439 | 1448 | Inkling |
| LMArena Text: business and finance | 1418 | 1438 | Inkling |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Mistral Medium 3.1 | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | 1133 | 1224 | Inkling |
| Design Arena: UI components | 1100 | 1201 | Inkling |
| Design Arena: game dev | 1074 | 1166 | Inkling |
| Design Arena: data viz | 1144 | 1159 | Inkling |
| Design Arena: 3D | 1081 | 1161 | Inkling |
| Design Arena: all code categories | 1120 | 1206 | Inkling |
| Design Arena: SVG | 993 | 1110 | Inkling |
| Design Arena: ASCII art | 997 | 1089 | Inkling |
| LiveBench design | Not measured | 58.3% | Only Inkling measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index218
| Benchmark | Mistral Medium 3.1 | Inkling | Leader |
|---|---|---|---|
| Vals Index | Not measured | 29.0% | Only Inkling measured |
| LiveBench data analysis | Not measured | 72.8% | Only Inkling measured |
| Public Benefits Bench (Vals AI) | Not measured | 58.5% | Only Inkling measured |
| SAGE (Vals AI) | Not measured | 36.5% | Only Inkling measured |
| MedScribe (Vals AI) | Not measured | 85.4% | Only Inkling measured |
| Vals Multimodal Index | Not measured | 49.4% | Only Inkling measured |
| IFBench | 39.8% | Not measured | Only Mistral Medium 3.1 measured |
| Long context reasoning (AA-LCR) | 42.7% | 77.3% | Inkling |
| DTBench | 67.5% | 87.5% | Inkling |
| LMCA | 19.1% | 37.6% | Inkling |
| LMArena Text | 1424 | 1442 | Inkling |
| LMArena Text: instruction following | 1398 | 1425 | Inkling |
| LMArena Text: creative writing | 1391 | 1390 | Mistral Medium 3.1 |
| LMArena Vision | 1172 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: English | 1438 | 1442 | Inkling |
| LMArena Text: non-English | 1408 | 1434 | Inkling |
| LMArena Text: Chinese | 1447 | 1493 | Inkling |
| LMArena Text: German | 1432 | 1445 | Inkling |
| LMArena Text: Japanese | 1379 | 1429 | Inkling |
| LMArena Text: Korean | 1380 | 1403 | Inkling |
| LMArena Text: French | 1460 | 1455 | Mistral Medium 3.1 |
| LMArena Text: Spanish | 1433 | 1449 | Inkling |
| LMArena Text: Russian | 1411 | 1430 | Inkling |
| LMArena Text: Polish | 1430 | 1450 | Inkling |
| LMArena Text: multi-turn | 1418 | 1437 | Inkling |
| LMArena Text: longer queries | 1406 | 1435 | Inkling |
| LMArena Text: writing and language | 1395 | 1404 | Inkling |
| LMArena Text: entertainment and media | 1390 | 1394 | Inkling |
| LMArena Vision: English | 1179 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: Chinese | 1190 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: reading text | 1175 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: humor | 1168 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: captioning | 1145 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: recognizing things | 1147 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: creative writing | 1200 | Not measured | Only Mistral Medium 3.1 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 | Mistral Medium 3.1 | Inkling | 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
Mistral Medium 3.1 costs less
Repository review
50K input + 3K output tokens
Mistral Medium 3.1 costs less
Agent loop
200K input + 10K output tokens
Mistral Medium 3.1 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 | Mistral Medium 3.1 | Thinking Machines Inkling |
|---|---|---|
| Maker | Mistral AI | Thinking Machines |
| Weights | No public weights listed | Open weights |
| Released | August 13, 2025 | July 17, 2026 |
| Context window | 131K | 524K |
| Input $/Mtok | $0.40 | $0.975 |
| Output $/Mtok | $2.00 | $4.05 |
| Coding index | Not benchmarked | 31.5 |
| Independent measurements behind it | 0 | 6 |
| Cost per solved task | Not computable | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Medium 3.1 better than Inkling for coding?
Only Inkling has a coding score, 31.5 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for output tokens 2.0x cheaper ($2.00 vs $4.05 per million) and work measured by LMArena Text: medicine and healthcare or LMArena Text: creative writing, where it leads.
Which is cheaper, Mistral Medium 3.1 or Inkling?
Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens; Inkling costs $0.975 and $4.05. Cost per solved task is known for Inkling only.
Which has the bigger context window, Mistral Medium 3.1 or Inkling?
Inkling, with 524K tokens against 131K.
How many benchmarks is the Mistral Medium 3.1 vs Inkling comparison based on?
53 benchmarks have a result for both models as of October 21, 2026. Mistral Medium 3.1's coding index rests on 0 independent benchmarks and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.