Model comparison
DeepSeek V4.1 Flash vs Yi-1.5-34B
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 30.6 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Yi-1.5-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek V4.1 Flash leads 57.9 to 14.8.
- The biggest single-benchmark swing is GPQA Diamond: 89.8% for DeepSeek V4.1 Flash and 32% for Yi-1.5-34B.
Side by side
| DeepSeek V4.1 Flash | Yi-1.5-34B | |
|---|---|---|
| Provider | DeepSeek | 01.AI |
| Noometry Index | 52.8 | 30.6 |
| Released | 2026-09-09 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 37 | 21 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Yi-1.5-34B: 32.4 (#272)
| Benchmark | DeepSeek V4.1 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1506 | 1169 |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Yi-1.5-34B: —
| Benchmark | DeepSeek V4.1 Flash | Yi-1.5-34B |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Yi-1.5-34B: 22.5 (#191)
| Benchmark | DeepSeek V4.1 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1160 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 154.9 | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), Yi-1.5-34B: 27.5 (#249)
| Benchmark | DeepSeek V4.1 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1477 | 1182 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
| MATH Level 5 | — | 25.5% |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), Yi-1.5-34B: 14.8 (#295)
| Benchmark | DeepSeek V4.1 Flash | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 89.8% | 32% |
| LMArena Expert | 1506 | 1144 |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Yi-1.5-34B: —
| Benchmark | DeepSeek V4.1 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.0 (#35), Yi-1.5-34B: 32.3 (#256)
| Benchmark | DeepSeek V4.1 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1448 | 1121 |
| LMArena Chinese | 1497 | 1213 |
| LMArena French | 1452 | 1156 |
| LMArena German | 1484 | 1111 |
| LMArena Japanese | 1412 | 1021 |
| LMArena Korean | 1452 | 1005 |
| LMArena Russian | 1471 | 1091 |
| LMArena Spanish | 1459 | 1121 |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), Yi-1.5-34B: 59.2 (#257)
| Benchmark | DeepSeek V4.1 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1474 | 1139 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#47), Yi-1.5-34B: 34.6 (#248)
| Benchmark | DeepSeek V4.1 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1475 | 1143 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), Yi-1.5-34B: 37.4 (#257)
| Benchmark | DeepSeek V4.1 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1462 | 1173 |
| LMArena Creative Writing | 1435 | 1135 |
| LMArena Multi-Turn | 1457 | 1153 |
| EQ-Bench Creative Writing | 1540 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Yi-1.5-34B?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 30.6 on the Noometry Index.
Is DeepSeek V4.1 Flash or Yi-1.5-34B better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 32.4 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Yi-1.5-34B share?
18 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Yi-1.5-34B has 21.