Mistral Medium 3.5 vs Inkling
Inkling leads Mistral Medium 3.5 on coding, 31.5 to 25.5 on the Vibe Coding Index, and Inkling costs 1.9x less per output token ($4.05 vs $7.50 per million). Updated October 22, 2026; 67 benchmarks have a result for both.
Mistral Medium 3.5 or Inkling: which to pick
Pick Inkling for coding: it scores 31.5 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5.
Pick Mistral Medium 3.5 for work measured by ProofBench or SAGE (Vals AI), where it leads.
- Shared results
- 67
- Mistral Medium 3.5 only
- 14
- Inkling only
- 35
- 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
Inkling
Inkling scores 31.5 against 25.5.
3 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Inkling
Inkling leads, 25.0 against 14.2.
Same board, both measured
Agentic work
AA Agentic Index
Inkling
Inkling leads, 22.5 against 7.0.
Same board, both measured
Reasoning
GPQA Diamond
Inkling
Inkling leads, 87.1% against 34.9%.
Same board, both measured
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 1142.
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 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling
Mistral Medium 3.5 $0.0053, Inkling $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Inkling
Mistral Medium 3.5 $6.02, Inkling $0.76.
Published attempt cost and pass rate
At a glance
- Coding index
- Mistral Medium 3.5 25.5 from 3 benchmarks, Inkling 31.5 from 6 benchmarks.
- Widest category
- Agentic work, 17.4 points apart on average over 5 shared benchmarks.
- Widest single gap
- GPQA Diamond: Mistral Medium 3.5 34.9% against Inkling 87.1%, 52.3 points apart on a 0 to 100 scale.
- Output price
- Mistral Medium 3.5 $7.50 against Inkling $4.05 per million output tokens, 1.9x apart.
- Context window
- Mistral Medium 3.5 takes 262K 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 3.5 | Bars | Inkling | Ties |
|---|---|---|---|---|
| Coding | 0 | 12 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 5 | ||
| Reasoning | 0 | 6 | ||
| Math | 1 | 2 | ||
| Knowledge | 0 | 9 | ||
| Web design | 0 | 8 | ||
| General | 2 | 20 | ||
| All shared boards | 3 | 64 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index012
| Benchmark | Mistral Medium 3.5 | Inkling | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 64.0% | Only Inkling measured |
| LMArena WebDev | 1264 | 1414 | Inkling |
| AA Coding Index | 46.9 | 52.1 | Inkling |
| LiveCodeBench (Vals AI) | Not measured | 85.5% | Only Inkling measured |
| SWE-bench Verified (Vals AI) | 66.4% | 77.6% | Inkling |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.5% | Only Inkling measured |
| Vibe Code Bench (Vals AI) | 2.9% | 19.2% | Inkling |
| Code migration (Vals AI) | 5.1% | 11.8% | Inkling |
| 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) | 39.0% | 47.6% | Inkling |
| 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 |
| SciCode | 40.2% | 47.0% | Inkling |
| Terminal-Bench Hard (Artificial Analysis run) | 33.3% | Not measured | Only Mistral Medium 3.5 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 | 764.0 | 946.0 | Inkling |
| LMArena Text: coding | 1460 | 1466 | Inkling |
| LMArena Text: software and IT | 1458 | 1465 | Inkling |
| LMArena WebDev: React | 1254 | 1404 | Inkling |
| LMArena WebDev: HTML | 1308 | 1399 | Inkling |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Medium 3.5 | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 14.2 | 25.0 | Inkling |
| Epoch Capabilities Index | 141.4 | 148.4 | Inkling |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Mistral Medium 3.5 | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | 7.0 | 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) | 32.1% | 46.6% | Inkling |
| Tax Agent Bench (Vals AI) | 4.5% | 15.3% | Inkling |
| Legal Research Bench (Vals AI) | 9.1% | 28.4% | Inkling |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 3.8% | Only Inkling measured |
| Excel Modeling Benchmark (Vals AI) | 11.2% | 38.4% | Inkling |
| τ²-Bench Telecom | 94.2% | Not measured | Only Mistral Medium 3.5 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 3.5 | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | 34.9% | 87.1% | Inkling |
| LiveBench reasoning | Not measured | 78.3% | Only Inkling measured |
| MMMU Pro (Vals AI) | Not measured | 78.5% | Only Inkling measured |
| GPQA Diamond (Artificial Analysis run) | 74.8% | 87.2% | Inkling |
| Humanity's Last Exam (Artificial Analysis run) | 13.8% | 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 | 1436 | 1451 | Inkling |
| LMArena Text: expert | 1432 | 1466 | Inkling |
| LMArena Text: hard prompts in English | 1445 | 1448 | Inkling |
| LMArena Vision: diagrams | 1254 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Vision: homework | 1230 | Not measured | Only Mistral Medium 3.5 measured |
| Kagi LLM Benchmark | 41.4% | Not measured | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Mistral Medium 3.5 | Inkling | Leader |
|---|---|---|---|
| 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 | 9.0% | 0.0% | Mistral Medium 3.5 |
| LMArena Text: math | 1431 | 1479 | Inkling |
| LMArena Text: mathematical work | 1440 | 1460 | Inkling |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | Mistral Medium 3.5 | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | 75.3% | 86.3% | Inkling |
| LegalBench (Vals AI) | Not measured | 83.0% | Only Inkling measured |
| CaseLaw (Vals AI) | 44.2% | Not measured | Only Mistral Medium 3.5 measured |
| CorpFin (Vals AI) | 58.8% | 68.6% | Inkling |
| TaxEval (Vals AI) | 68.0% | 75.3% | Inkling |
| MortgageTax (Vals AI) | 28.9% | 64.0% | Inkling |
| MedCode (Vals AI) | 33.8% | 41.2% | Inkling |
| SimpleQA Verified | Not measured | 40.3% | Only Inkling measured |
| LMArena Text: science | 1428 | 1455 | Inkling |
| LMArena Text: medicine and healthcare | 1409 | 1447 | Inkling |
| LMArena Text: legal and government | 1437 | 1448 | Inkling |
| LMArena Text: business and finance | 1426 | 1438 | Inkling |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Mistral Medium 3.5 | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | 1142 | 1224 | Inkling |
| Design Arena: UI components | 1076 | 1198 | Inkling |
| Design Arena: game dev | 1079 | 1165 | Inkling |
| Design Arena: data viz | 1120 | 1156 | Inkling |
| Design Arena: 3D | 1060 | 1160 | Inkling |
| Design Arena: all code categories | 1121 | 1205 | Inkling |
| Design Arena: SVG | 949 | 1108 | Inkling |
| Design Arena: ASCII art | 1062 | 1089 | Inkling |
| LiveBench design | Not measured | 58.3% | Only Inkling measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index220
| Benchmark | Mistral Medium 3.5 | 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) | 37.6% | 36.5% | Mistral Medium 3.5 |
| MedScribe (Vals AI) | 67.7% | 85.4% | Inkling |
| Vals Multimodal Index | 34.8% | 49.4% | Inkling |
| IFBench | 68.8% | Not measured | Only Mistral Medium 3.5 measured |
| Long context reasoning (AA-LCR) | 69.3% | 77.3% | Inkling |
| DTBench | 75.5% | 87.5% | Inkling |
| LMCA | 26.1% | 37.6% | Inkling |
| Surface Evolver Bench | 26.9% | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Text | 1421 | 1442 | Inkling |
| LMArena Text: instruction following | 1415 | 1425 | Inkling |
| LMArena Text: creative writing | 1374 | 1390 | Inkling |
| LMArena Vision | 1222 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Text: English | 1433 | 1442 | Inkling |
| LMArena Text: non-English | 1404 | 1434 | Inkling |
| LMArena Text: Chinese | 1444 | 1493 | Inkling |
| LMArena Text: German | 1453 | 1445 | Mistral Medium 3.5 |
| LMArena Text: Japanese | Not measured | 1429 | Only Inkling measured |
| LMArena Text: Korean | 1384 | 1403 | Inkling |
| LMArena Text: French | 1448 | 1455 | Inkling |
| LMArena Text: Spanish | 1411 | 1449 | Inkling |
| LMArena Text: Russian | 1395 | 1430 | Inkling |
| LMArena Text: Polish | 1430 | 1450 | Inkling |
| LMArena Text: multi-turn | 1423 | 1437 | Inkling |
| LMArena Text: longer queries | 1415 | 1435 | Inkling |
| LMArena Text: writing and language | 1384 | 1404 | Inkling |
| LMArena Text: entertainment and media | 1382 | 1394 | Inkling |
| LMArena Vision: English | 1240 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Vision: Chinese | 1244 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Vision: reading text | 1233 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Vision: humor | 1216 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Vision: creative writing | 1198 | Not measured | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Medium 3.5 | 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
Inkling costs less
Repository review
50K input + 3K output tokens
Inkling costs less
Agent loop
200K input + 10K output tokens
Inkling 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 3.5 | Thinking Machines Inkling |
|---|---|---|
| Maker | Mistral AI | Thinking Machines |
| Weights | No public weights listed | Open weights |
| Released | April 30, 2026 | July 17, 2026 |
| Context window | 262K | 524K |
| Input $/Mtok | $1.50 | $0.975 |
| Output $/Mtok | $7.50 | $4.05 |
| Coding index | 25.5 | 31.5 |
| Independent measurements behind it | 3 | 6 |
| Cost per solved task | $6.02 | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Medium 3.5 better than Inkling for coding?
Pick Inkling for coding: it scores 31.5 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5. Pick Mistral Medium 3.5 for work measured by ProofBench or SAGE (Vals AI), where it leads.
Which is cheaper, Mistral Medium 3.5 or Inkling?
Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens; Inkling costs $0.975 and $4.05. Per solved SWE-bench Verified task, Mistral Medium 3.5 costs $6.02 and Inkling $0.76.
Which has the bigger context window, Mistral Medium 3.5 or Inkling?
Inkling, with 524K tokens against 262K.
How many benchmarks is the Mistral Medium 3.5 vs Inkling comparison based on?
67 benchmarks have a result for both models as of October 22, 2026. Mistral Medium 3.5's coding index rests on 3 independent benchmarks and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.