Model comparison
Inkling vs Mistral Medium
Inkling is the stronger model overall, scoring 44.1 to 36.3 on the Noometry Index.
Last verified . 27 shared benchmarks.
Mistral AISummary
- They share 27 benchmarks with published results for both. Inkling scores higher in 9 categories and Mistral Medium in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.1 to 25.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for Inkling and 32.2% for Mistral Medium.
- Inkling is cheaper at $1.87 / $4.68 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 66K.
Side by side
| Inkling | Mistral Medium | |
|---|---|---|
| Provider | Thinking Machines Lab | Mistral AI |
| Noometry Index | 44.1 | 36.3 |
| Released | 2026-07-15 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 66K | 262K |
| Max output | 66K | 262K |
| Input $ / M tokens | $1.87 | $1.50 |
| Output $ / M tokens | $4.68 | $7.50 |
| Results tracked | 41 | 36 |
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Category by category
Coding Too close to call
Inkling: 34.5 (#234), Mistral Medium: 34.2 (#243)
| Benchmark | Inkling | Mistral Medium |
|---|---|---|
| FrontierCode | 14% | 8% |
| SciCode | 47% | 40.2% |
| WeirdML | 32.3% | 43.7% |
| LMArena Coding | 1464 | 1434 |
| ALE-Bench | 946 | 763.98 |
| LMArena WebDev | 1413 | — |
| FrontierSWE | 4.1% | — |
Agentic & Tool Use Inkling leads
Inkling: 29.6 (#85), Mistral Medium: 28.3 (#90)
| Benchmark | Inkling | Mistral Medium |
|---|---|---|
| APEX-Agents | 33.8% | — |
| Berkeley Function Calling Leaderboard | — | 37.7% |
| τ²-bench Banking | 25% | — |
Reasoning Inkling leads
Inkling: 40.4 (#56), Mistral Medium: 24.0 (#167)
| Benchmark | Inkling | Mistral Medium |
|---|---|---|
| CritPt | 5.4% | 0% |
| LMArena Hard Prompts | 1451 | 1426 |
| DTBench | 87.5% | 75.5% |
| LMCA | 37.6% | 26.1% |
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| Kagi LLM Benchmark | — | 50% |
| ARC-AGI-1 | 79.5% | — |
| Chess Puzzles | 21% | — |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 148.54 | — |
Math Inkling leads
Inkling: 31.3 (#225), Mistral Medium: 28.1 (#245)
| Benchmark | Inkling | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 32.2% |
| ProofBench | 0% | 9% |
| LMArena Math | 1479 | 1408 |
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Inkling leads
Inkling: 55.1 (#49), Mistral Medium: 25.0 (#265)
| Benchmark | Inkling | Mistral Medium |
|---|---|---|
| GPQA Diamond | 88.3% | 59.5% |
| LMArena Expert | 1465 | 1408 |
| Humanity's Last Exam | — | 4.5% |
| SimpleQA Verified | 40.3% | — |
| Vectara Hallucination Rate | — | 22.7% |
Multimodal Not comparable
Inkling: —, Mistral Medium: 35.3 (#88)
| Benchmark | Inkling | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |
Multilingual Inkling leads
Inkling: 54.0 (#52), Mistral Medium: 52.1 (#91)
| Benchmark | Inkling | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1434 | 1408 |
| LMArena Chinese | 1490 | 1447 |
| LMArena French | 1458 | 1459 |
| LMArena German | 1446 | 1432 |
| LMArena Japanese | 1429 | 1378 |
| LMArena Korean | 1404 | 1380 |
| LMArena Russian | 1429 | 1411 |
| LMArena Spanish | 1448 | 1433 |
Instruction Following Inkling leads
Inkling: 75.1 (#71), Mistral Medium: 73.7 (#116)
| Benchmark | Inkling | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1426 | 1398 |
Long Context Too close to call
Inkling: 43.8 (#86), Mistral Medium: 42.9 (#114)
| Benchmark | Inkling | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1434 | 1406 |
Writing & Preference Inkling leads
Inkling: 65.2 (#51), Mistral Medium: 60.0 (#103)
| Benchmark | Inkling | Mistral Medium |
|---|---|---|
| LMArena Text | 1441 | 1424 |
| LMArena Creative Writing | 1387 | 1391 |
| LMArena Multi-Turn | 1436 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
| EQ-Bench Creative Writing | 1611 | — |
| EQ-Bench 4 | 1226 | — |
Frequently asked questions
Is Inkling better than Mistral Medium?
Inkling is the stronger model overall, scoring 44.1 to 36.3 on the Noometry Index.
Which is cheaper, Inkling or Mistral Medium?
Inkling is cheaper. It lists at $1.87 per million input tokens and $4.68 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Inkling or Mistral Medium better for coding?
They score almost the same on coding (34.5 vs 34.2); test both on your own repository before choosing.
Which has the bigger context window?
Mistral Medium does, with 262K tokens against 66K.
How many benchmarks do Inkling and Mistral Medium share?
27 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Mistral Medium has 36.