Model comparison
DeepSeek V4 Flash vs ERNIE 5.0 0110
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 41.8 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 7 categories and ERNIE 5.0 0110 in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 17.0.
- The biggest single-benchmark swing is NYT Connections (extended): 89.6% for DeepSeek V4 Flash and 10.3% for ERNIE 5.0 0110.
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Flash | ERNIE 5.0 0110 | |
|---|---|---|
| Provider | DeepSeek | Baidu |
| Noometry Index | 53.6 | 41.8 |
| Released | 2026-04-24 | — |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 20 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), ERNIE 5.0 0110: 43.0 (#94)
| Benchmark | DeepSeek V4 Flash | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Coding | 1457 | 1455 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), ERNIE 5.0 0110: 17.0 (#297)
| Benchmark | DeepSeek V4 Flash | ERNIE 5.0 0110 |
|---|---|---|
| NYT Connections (extended) | 89.6% | 10.3% |
| LMArena Hard Prompts | 1444 | 1445 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| Thematic Generalization | — | 41.7% |
| 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), ERNIE 5.0 0110: 39.3 (#110)
| Benchmark | DeepSeek V4 Flash | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Math | 1427 | 1437 |
| 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% | — |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), ERNIE 5.0 0110: 39.8 (#128)
| Benchmark | DeepSeek V4 Flash | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Expert | 1441 | 1428 |
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
Multimodal Not comparable
DeepSeek V4 Flash: —, ERNIE 5.0 0110: 39.9 (#53)
| Benchmark | DeepSeek V4 Flash | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Vision | — | 1249 |
Multilingual ERNIE 5.0 0110 leads
DeepSeek V4 Flash: 53.0 (#72), ERNIE 5.0 0110: 54.1 (#49)
| Benchmark | DeepSeek V4 Flash | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Non-English | 1420 | 1436 |
| LMArena Chinese | 1468 | 1512 |
| LMArena French | 1439 | 1467 |
| LMArena German | 1418 | 1460 |
| LMArena Japanese | 1406 | 1382 |
| LMArena Korean | 1384 | 1406 |
| LMArena Russian | 1428 | 1446 |
| LMArena Spanish | 1436 | 1473 |
Instruction Following Too close to call
DeepSeek V4 Flash: 74.9 (#81), ERNIE 5.0 0110: 74.5 (#92)
| Benchmark | DeepSeek V4 Flash | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Instruction Following | 1421 | 1413 |
Long Context Too close to call
DeepSeek V4 Flash: 43.8 (#85), ERNIE 5.0 0110: 43.4 (#95)
| Benchmark | DeepSeek V4 Flash | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Longer Query | 1434 | 1422 |
Writing & Preference Too close to call
DeepSeek V4 Flash: 63.8 (#61), ERNIE 5.0 0110: 63.1 (#66)
| Benchmark | DeepSeek V4 Flash | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Text | 1432 | 1445 |
| LMArena Creative Writing | 1403 | 1426 |
| LMArena Multi-Turn | 1449 | 1434 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than ERNIE 5.0 0110?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 41.8 on the Noometry Index.
Is DeepSeek V4 Flash or ERNIE 5.0 0110 better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 43.0 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Flash and ERNIE 5.0 0110 share?
18 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and ERNIE 5.0 0110 has 20.