Model comparison
Mistral Medium vs Yi-1.5-34B
Mistral Medium is the stronger model overall, scoring 36.3 to 30.6 on the Noometry Index.
Last verified . 19 shared benchmarks.
Mistral AISummary
- They share 19 benchmarks with published results for both. Mistral Medium scores higher in 8 categories and Yi-1.5-34B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.0 to 37.4.
- The biggest single-benchmark swing is MATH Level 5: 81.6% for Mistral Medium and 25.5% for Yi-1.5-34B.
Side by side
| Mistral Medium | Yi-1.5-34B | |
|---|---|---|
| Provider | Mistral AI | 01.AI |
| Noometry Index | 36.3 | 30.6 |
| Released | 2023-12-11 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $1.50 | — |
| Output $ / M tokens | $7.50 | — |
| Results tracked | 36 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Mistral Medium leads
Mistral Medium: 34.2 (#243), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Mistral Medium | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1434 | 1169 |
| FrontierCode | 8% | — |
| SciCode | 40.2% | — |
| WeirdML | 43.7% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Not comparable
Mistral Medium: 28.3 (#90), Yi-1.5-34B: —
| Benchmark | Mistral Medium | Yi-1.5-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
Reasoning Mistral Medium leads
Mistral Medium: 24.0 (#167), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Mistral Medium | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1160 |
| Kagi LLM Benchmark | 50% | — |
| CritPt | 0% | — |
| DTBench | 75.5% | — |
| LMCA | 26.1% | — |
| Surface Evolver Bench | 26.9% | — |
Math Too close to call
Mistral Medium: 28.1 (#245), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Mistral Medium | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1408 | 1182 |
| MATH Level 5 | 81.6% | 25.5% |
| OTIS Mock AIME 2024-2025 | 32.2% | — |
| ProofBench | 9% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Mistral Medium leads
Mistral Medium: 25.0 (#265), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Mistral Medium | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 59.5% | 32% |
| LMArena Expert | 1408 | 1144 |
| Humanity's Last Exam | 4.5% | — |
| Vectara Hallucination Rate | 22.7% | — |
Multimodal Not comparable
Mistral Medium: 35.3 (#88), Yi-1.5-34B: —
| Benchmark | Mistral Medium | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Mistral Medium leads
Mistral Medium: 52.1 (#91), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Mistral Medium | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1408 | 1121 |
| LMArena Chinese | 1447 | 1213 |
| LMArena French | 1459 | 1156 |
| LMArena German | 1432 | 1111 |
| LMArena Japanese | 1378 | 1021 |
| LMArena Korean | 1380 | 1005 |
| LMArena Russian | 1411 | 1091 |
| LMArena Spanish | 1433 | 1121 |
Instruction Following Mistral Medium leads
Mistral Medium: 73.7 (#116), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Mistral Medium | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1398 | 1139 |
Long Context Mistral Medium leads
Mistral Medium: 42.9 (#114), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Mistral Medium | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1406 | 1143 |
Writing & Preference Mistral Medium leads
Mistral Medium: 60.0 (#103), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Mistral Medium | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1424 | 1173 |
| LMArena Creative Writing | 1391 | 1135 |
| LMArena Multi-Turn | 1418 | 1153 |
| Short-Story Creative Writing | 77.3% | — |
Frequently asked questions
Is Mistral Medium better than Yi-1.5-34B?
Mistral Medium is the stronger model overall, scoring 36.3 to 30.6 on the Noometry Index.
Is Mistral Medium or Yi-1.5-34B better for coding?
Mistral Medium scores higher on coding benchmarks: 34.2 versus 32.4 in the Noometry coding category.
How many benchmarks do Mistral Medium and Yi-1.5-34B share?
19 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Yi-1.5-34B has 21.