Model comparison
Codestral vs Ring-2.6-1T
Codestral has enough public results to be ranked (#290); Ring-2.6-1T does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Mistral AI
Ant Group (inclusionAI)Summary
- They share 1 benchmark with published results for both. Codestral scores higher in 0 categories and Ring-2.6-1T in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where Ring-2.6-1T leads 40.7 to 27.3.
- Ring-2.6-1T has downloadable open weights; the other is API-only.
Side by side
| Codestral | Ring-2.6-1T | |
|---|---|---|
| Provider | Mistral AI | Ant Group (inclusionAI) |
| Noometry Index | 30.6 | 36.9 |
| Released | 2024-05-29 | 2026-05-14 |
| Weights | Proprietary | Open |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Ring-2.6-1T leads
Codestral: 27.3 (#321), Ring-2.6-1T: 40.7
| Benchmark | Codestral | Ring-2.6-1T |
|---|---|---|
| ALE-Bench | 137.78 | 432.57 |
| Aider Polyglot | 11.1% | — |
| SciCode | — | 42.4% |
| BigCodeBench Instruct | 41.8% | — |
| BigCodeBench Complete | 52.5% | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning Ring-2.6-1T leads
Codestral: 19.8 (#251), Ring-2.6-1T: 26.1
| Benchmark | Codestral | Ring-2.6-1T |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| CritPt | — | 3.7% |
Frequently asked questions
Is Codestral better than Ring-2.6-1T?
Codestral has enough public results to be ranked (#290); Ring-2.6-1T does not yet, so treat this comparison as directional.
Is Codestral or Ring-2.6-1T better for coding?
Ring-2.6-1T scores higher on coding benchmarks: 40.7 versus 27.3 in the Noometry coding category.
How many benchmarks do Codestral and Ring-2.6-1T share?
1 benchmark has published results for both models. Codestral has 7 scored results on Noometry and Ring-2.6-1T has 3.