Model comparison
DeepSeek V4 Flash vs MiMo-V2.5
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 43.4 on the Noometry Index.
Last verified . 22 shared benchmarks.
DeepSeekSummary
- They share 22 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 6 categories and MiMo-V2.5 in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 28.6.
- The biggest single-benchmark swing is ProofBench: 56% for DeepSeek V4 Flash and 16% for MiMo-V2.5.
- MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4 Flash.
- MiMo-V2.5 accepts more context: 1.05M tokens versus 1M.
Side by side
| DeepSeek V4 Flash | MiMo-V2.5 | |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 53.6 | 43.4 |
| Released | 2026-04-24 | 2026-04-22 |
| Weights | Open | Open |
| Context window | 1M | 1.05M |
| Max output | 393K | 131K |
| Input $ / M tokens | $0.15 | $0.14 |
| Output $ / M tokens | $0.60 | $0.28 |
| Results tracked | 41 | 23 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), MiMo-V2.5: 43.9 (#81)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena WebDev | 1582 | 1438 |
| SciCode | 49.9% | 43.1% |
| LMArena Coding | 1457 | 1469 |
| ALE-Bench | 1,306 | 513.95 |
| FrontierCode | 18.8% | — |
| WeirdML | 63% | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), MiMo-V2.5: 28.6 (#101)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5 |
|---|---|---|
| CritPt | 16.6% | 3.7% |
| LMArena Hard Prompts | 1444 | 1450 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| 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), MiMo-V2.5: 36.8 (#163)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5 |
|---|---|---|
| ProofBench | 56% | 16% |
| LMArena Math | 1427 | 1436 |
| 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: 40.8 (#115)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | 1441 | 1460 |
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
Multimodal Not comparable
DeepSeek V4 Flash: —, MiMo-V2.5: 39.8 (#54)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | — | 1247 |
Multilingual DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.0 (#72), MiMo-V2.5: 51.9 (#99)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 1420 | 1404 |
| LMArena Chinese | 1468 | 1468 |
| LMArena French | 1439 | 1447 |
| LMArena German | 1418 | 1421 |
| LMArena Japanese | 1406 | 1306 |
| LMArena Korean | 1384 | 1363 |
| LMArena Russian | 1428 | 1395 |
| LMArena Spanish | 1436 | 1416 |
Instruction Following Too close to call
DeepSeek V4 Flash: 74.9 (#81), MiMo-V2.5: 75.5 (#60)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1421 | 1434 |
Long Context Too close to call
DeepSeek V4 Flash: 43.8 (#85), MiMo-V2.5: 44.2 (#73)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 1434 | 1445 |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), MiMo-V2.5: 61.6 (#86)
| Benchmark | DeepSeek V4 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1432 | 1428 |
| LMArena Creative Writing | 1403 | 1393 |
| LMArena Multi-Turn | 1449 | 1445 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than MiMo-V2.5?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 43.4 on the Noometry Index.
Which is cheaper, DeepSeek V4 Flash or MiMo-V2.5?
MiMo-V2.5 is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; DeepSeek V4 Flash lists at $0.15 and $0.60.
Is DeepSeek V4 Flash or MiMo-V2.5 better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 43.9 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5 does, with 1.05M tokens against 1M.
How many benchmarks do DeepSeek V4 Flash and MiMo-V2.5 share?
22 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and MiMo-V2.5 has 23.