Model comparison
Mistral Large 3 vs Ring-2.6-1T
Mistral Large 3 has enough public results to be ranked (#176); Ring-2.6-1T does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Mistral AI
Ant Group (inclusionAI)Summary
- The widest gap is in reasoning, where Ring-2.6-1T leads 26.1 to 15.2.
Side by side
| Mistral Large 3 | Ring-2.6-1T | |
|---|---|---|
| Provider | Mistral AI | Ant Group (inclusionAI) |
| Noometry Index | 39.1 | 36.9 |
| Released | 2025-12-02 | 2026-05-14 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.75 | — |
| Results tracked | 24 | 3 |
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Category by category
Coding Ring-2.6-1T leads
Mistral Large 3: 34.4 (#237), Ring-2.6-1T: 40.7
| Benchmark | Mistral Large 3 | Ring-2.6-1T |
|---|---|---|
| LMArena WebDev | 1230 | — |
| SciCode | — | 42.4% |
| LMArena Coding | 1448 | — |
| ALE-Bench | — | 432.57 |
Reasoning Ring-2.6-1T leads
Mistral Large 3: 15.2 (#319), Ring-2.6-1T: 26.1
| Benchmark | Mistral Large 3 | Ring-2.6-1T |
|---|---|---|
| Kagi LLM Benchmark | 50.9% | — |
| NYT Connections (extended) | 7.5% | — |
| CritPt | — | 3.7% |
| Thematic Generalization | 23% | — |
| LMArena Hard Prompts | 1429 | — |
Math Not comparable
Mistral Large 3: 38.7 (#129), Ring-2.6-1T: —
| Benchmark | Mistral Large 3 | Ring-2.6-1T |
|---|---|---|
| LMArena Math | 1414 | — |
Knowledge Not comparable
Mistral Large 3: 36.0 (#177), Ring-2.6-1T: —
| Benchmark | Mistral Large 3 | Ring-2.6-1T |
|---|---|---|
| Vectara Hallucination Rate | 14.5% | — |
| LMArena Expert | 1421 | — |
Multimodal Not comparable
Mistral Large 3: 38.2 (#66), Ring-2.6-1T: —
| Benchmark | Mistral Large 3 | Ring-2.6-1T |
|---|---|---|
| LMArena Vision | 1221 | — |
Multilingual Not comparable
Mistral Large 3: 52.5 (#84), Ring-2.6-1T: —
| Benchmark | Mistral Large 3 | Ring-2.6-1T |
|---|---|---|
| LMArena Non-English | 1413 | — |
| LMArena Chinese | 1447 | — |
| LMArena French | 1455 | — |
| LMArena German | 1437 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1384 | — |
| LMArena Russian | 1411 | — |
| LMArena Spanish | 1440 | — |
Instruction Following Not comparable
Mistral Large 3: 74.0 (#108), Ring-2.6-1T: —
| Benchmark | Mistral Large 3 | Ring-2.6-1T |
|---|---|---|
| LMArena Instruction Following | 1403 | — |
Long Context Not comparable
Mistral Large 3: 43.1 (#105), Ring-2.6-1T: —
| Benchmark | Mistral Large 3 | Ring-2.6-1T |
|---|---|---|
| LMArena Longer Query | 1413 | — |
Writing & Preference Not comparable
Mistral Large 3: 60.0 (#101), Ring-2.6-1T: —
| Benchmark | Mistral Large 3 | Ring-2.6-1T |
|---|---|---|
| LMArena Text | 1428 | — |
| LMArena Creative Writing | 1386 | — |
| EQ-Bench Creative Writing | 1412 | — |
| LMArena Multi-Turn | 1429 | — |
Frequently asked questions
Is Mistral Large 3 better than Ring-2.6-1T?
Mistral Large 3 has enough public results to be ranked (#176); Ring-2.6-1T does not yet, so treat this comparison as directional.
Is Mistral Large 3 or Ring-2.6-1T better for coding?
Ring-2.6-1T scores higher on coding benchmarks: 40.7 versus 34.4 in the Noometry coding category.
How many benchmarks do Mistral Large 3 and Ring-2.6-1T share?
0 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Ring-2.6-1T has 3.