Model comparison
DeepSeek V4 Flash vs Yi-1.5-34B
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 30.6 on the Noometry Index.
Last verified . 18 shared benchmarks.
DeepSeekSummary
- They share 18 benchmarks with published results for both. DeepSeek V4 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 Flash leads 55.4 to 14.8.
- The biggest single-benchmark swing is GPQA Diamond: 91% for DeepSeek V4 Flash and 32% for Yi-1.5-34B.
Side by side
| DeepSeek V4 Flash | Yi-1.5-34B | |
|---|---|---|
| Provider | DeepSeek | 01.AI |
| Noometry Index | 53.6 | 30.6 |
| Released | 2026-04-24 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 21 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), Yi-1.5-34B: 32.4 (#272)
| Benchmark | DeepSeek V4 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1457 | 1169 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Yi-1.5-34B: 22.5 (#191)
| Benchmark | DeepSeek V4 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1160 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |
| Epoch Capabilities Index | 154.49 | — |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), Yi-1.5-34B: 27.5 (#249)
| Benchmark | DeepSeek V4 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1427 | 1182 |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| ProofBench | 56% | — |
| MATH Level 5 | — | 25.5% |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), Yi-1.5-34B: 14.8 (#295)
| Benchmark | DeepSeek V4 Flash | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 91% | 32% |
| LMArena Expert | 1441 | 1144 |
| SimpleQA Verified | 33.6% | — |
Multilingual DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.0 (#72), Yi-1.5-34B: 32.3 (#256)
| Benchmark | DeepSeek V4 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1420 | 1121 |
| LMArena Chinese | 1468 | 1213 |
| LMArena French | 1439 | 1156 |
| LMArena German | 1418 | 1111 |
| LMArena Japanese | 1406 | 1021 |
| LMArena Korean | 1384 | 1005 |
| LMArena Russian | 1428 | 1091 |
| LMArena Spanish | 1436 | 1121 |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 74.9 (#81), Yi-1.5-34B: 59.2 (#257)
| Benchmark | DeepSeek V4 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1421 | 1139 |
Long Context DeepSeek V4 Flash leads
DeepSeek V4 Flash: 43.8 (#85), Yi-1.5-34B: 34.6 (#248)
| Benchmark | DeepSeek V4 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1434 | 1143 |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Yi-1.5-34B: 37.4 (#257)
| Benchmark | DeepSeek V4 Flash | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1432 | 1173 |
| LMArena Creative Writing | 1403 | 1135 |
| LMArena Multi-Turn | 1449 | 1153 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Yi-1.5-34B?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 30.6 on the Noometry Index.
Is DeepSeek V4 Flash or Yi-1.5-34B better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 32.4 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Flash and Yi-1.5-34B share?
18 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Yi-1.5-34B has 21.