Model comparison
DeepSeek V4 Flash vs MiMo-V2.5-Pro
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 45.2 on the Noometry Index.
Last verified . 26 shared benchmarks.
DeepSeekSummary
- They share 26 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 4 categories and MiMo-V2.5-Pro in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 26.8.
- The biggest single-benchmark swing is NYT Connections (extended): 89.6% for DeepSeek V4 Flash and 34.4% for MiMo-V2.5-Pro.
- DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 1M.
Side by side
| DeepSeek V4 Flash | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 53.6 | 45.2 |
| Released | 2026-04-24 | 2026-04-22 |
| Weights | Open | Open |
| Context window | 1M | 1.05M |
| Max output | 393K | 131K |
| Input $ / M tokens | $0.15 | $0.43 |
| Output $ / M tokens | $0.60 | $0.87 |
| Results tracked | 41 | 27 |
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Category by category
Coding Too close to call
DeepSeek V4 Flash: 47.9 (#59), MiMo-V2.5-Pro: 47.4 (#60)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena WebDev | 1582 | 1479 |
| SciCode | 49.9% | 50.2% |
| LMArena Coding | 1457 | 1503 |
| ALE-Bench | 1,306 | 899.8 |
| FrontierCode | 18.8% | — |
| WeirdML | 63% | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), MiMo-V2.5-Pro: 26.8 (#130)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5-Pro |
|---|---|---|
| NYT Connections (extended) | 89.6% | 34.4% |
| CritPt | 16.6% | 4% |
| LMArena Hard Prompts | 1444 | 1488 |
| DTBench | 90.9% | 84.5% |
| LMCA | 41.7% | 29.5% |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| ARC-AGI-1 | 89% | — |
| Chess Puzzles | 33% | — |
| Mystery Game Puzzles | 34% | — |
| Epoch Capabilities Index | 154.49 | — |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), MiMo-V2.5-Pro: 40.0 (#96)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5-Pro |
|---|---|---|
| ProofBench | 56% | 22% |
| LMArena Math | 1427 | 1481 |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), MiMo-V2.5-Pro: 42.2 (#98)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1441 | 1503 |
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
Multilingual MiMo-V2.5-Pro leads
DeepSeek V4 Flash: 53.0 (#72), MiMo-V2.5-Pro: 55.1 (#34)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1420 | 1449 |
| LMArena Chinese | 1468 | 1507 |
| LMArena French | 1439 | 1488 |
| LMArena German | 1418 | 1458 |
| LMArena Japanese | 1406 | 1412 |
| LMArena Korean | 1384 | 1437 |
| LMArena Russian | 1428 | 1450 |
| LMArena Spanish | 1436 | 1471 |
Instruction Following MiMo-V2.5-Pro leads
DeepSeek V4 Flash: 74.9 (#81), MiMo-V2.5-Pro: 77.5 (#21)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1421 | 1477 |
Long Context MiMo-V2.5-Pro leads
DeepSeek V4 Flash: 43.8 (#85), MiMo-V2.5-Pro: 45.4 (#37)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1434 | 1483 |
Writing & Preference MiMo-V2.5-Pro leads
DeepSeek V4 Flash: 63.8 (#61), MiMo-V2.5-Pro: 65.3 (#49)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1432 | 1465 |
| LMArena Creative Writing | 1403 | 1440 |
| EQ-Bench Creative Writing | 1559 | 1493 |
| LMArena Multi-Turn | 1449 | 1477 |
| EQ-Bench 4 | — | 1208 |
Frequently asked questions
Is DeepSeek V4 Flash better than MiMo-V2.5-Pro?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 45.2 on the Noometry Index.
Which is cheaper, DeepSeek V4 Flash or MiMo-V2.5-Pro?
DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.
Is DeepSeek V4 Flash or MiMo-V2.5-Pro better for coding?
They score almost the same on coding (47.9 vs 47.4); test both on your own repository before choosing.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 1M.
How many benchmarks do DeepSeek V4 Flash and MiMo-V2.5-Pro share?
26 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and MiMo-V2.5-Pro has 27.