Model comparison
DeepSeek V4 Flash vs Granite 4.0 Micro
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 6.4× less per token, which makes it the better buy when DeepSeek V4 Flash's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
DeepSeekSummary
- They share 3 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 5 categories and Granite 4.0 Micro in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 12.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.4% for DeepSeek V4 Flash and 2.8% for Granite 4.0 Micro.
- Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4 Flash.
- DeepSeek V4 Flash accepts more context: 1M tokens versus 131K.
Side by side
| DeepSeek V4 Flash | Granite 4.0 Micro | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 53.6 | 29.0 |
| Released | 2026-04-24 | 2025-10-02 |
| Weights | Open | Open |
| Context window | 1M | 131K |
| Max output | 393K | 118K |
| Input $ / M tokens | $0.15 | $0.017 |
| Output $ / M tokens | $0.60 | $0.11 |
| Results tracked | 41 | 8 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
DeepSeek V4 Flash: 47.9 (#59), Granite 4.0 Micro: —
| Benchmark | DeepSeek V4 Flash | Granite 4.0 Micro |
|---|---|---|
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| LMArena Coding | 1457 | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Granite 4.0 Micro: 19.2 (#265)
| Benchmark | DeepSeek V4 Flash | Granite 4.0 Micro |
|---|---|---|
| Chess Puzzles | 33% | 0% |
| 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% | — |
| LMArena Hard Prompts | 1444 | — |
| 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), Granite 4.0 Micro: 12.0 (#307)
| Benchmark | DeepSeek V4 Flash | Granite 4.0 Micro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.4% | 2.8% |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| ProofBench | 56% | — |
| Omni-MATH | — | 20.9% |
| LMArena Math | 1427 | — |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), Granite 4.0 Micro: 9.9 (#304)
| Benchmark | DeepSeek V4 Flash | Granite 4.0 Micro |
|---|---|---|
| GPQA Diamond | 91% | 28.3% |
| SimpleQA Verified | 33.6% | — |
| MMLU-Pro | — | 39.5% |
| GPQA (HELM) | — | 30.7% |
| LMArena Expert | 1441 | — |
Multilingual Not comparable
DeepSeek V4 Flash: 53.0 (#72), Granite 4.0 Micro: —
| Benchmark | DeepSeek V4 Flash | Granite 4.0 Micro |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1468 | — |
| LMArena French | 1439 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1384 | — |
| LMArena Russian | 1428 | — |
| LMArena Spanish | 1436 | — |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 74.9 (#81), Granite 4.0 Micro: 69.9 (#169)
| Benchmark | DeepSeek V4 Flash | Granite 4.0 Micro |
|---|---|---|
| IFEval | — | 84.9% |
| LMArena Instruction Following | 1421 | — |
Long Context Not comparable
DeepSeek V4 Flash: 43.8 (#85), Granite 4.0 Micro: —
| Benchmark | DeepSeek V4 Flash | Granite 4.0 Micro |
|---|---|---|
| LMArena Longer Query | 1434 | — |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Granite 4.0 Micro: 46.7 (#216)
| Benchmark | DeepSeek V4 Flash | Granite 4.0 Micro |
|---|---|---|
| LMArena Text | 1432 | — |
| LMArena Creative Writing | 1403 | — |
| EQ-Bench Creative Writing | 1559 | — |
| WildBench | — | 67% |
| LMArena Multi-Turn | 1449 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Granite 4.0 Micro?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 6.4× less per token, which makes it the better buy when DeepSeek V4 Flash's lead doesn't matter for your workload.
Which is cheaper, DeepSeek V4 Flash or Granite 4.0 Micro?
Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; DeepSeek V4 Flash lists at $0.15 and $0.60.
Which has the bigger context window?
DeepSeek V4 Flash does, with 1M tokens against 131K.
How many benchmarks do DeepSeek V4 Flash and Granite 4.0 Micro share?
3 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Granite 4.0 Micro has 8.