Model comparison
DeepSeek-V2.5 (Sep 2024) vs Granite 4.0 Micro
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 29.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in knowledge, where DeepSeek-V2.5 (Sep 2024) leads 34.8 to 9.9.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Granite 4.0 Micro | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 37.6 | 29.0 |
| Released | 2024-09-06 | 2025-10-02 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 118K |
| Input $ / M tokens | — | $0.017 |
| Output $ / M tokens | — | $0.11 |
| Results tracked | 22 | 8 |
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Category by category
Coding Not comparable
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Granite 4.0 Micro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.0 Micro |
|---|---|---|
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1309 | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Granite 4.0 Micro: 19.2 (#265)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.0 Micro |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1289 | — |
Math DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Granite 4.0 Micro: 12.0 (#307)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.0 Micro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.8% |
| Omni-MATH | — | 20.9% |
| LMArena Math | 1288 | — |
Knowledge DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Granite 4.0 Micro: 9.9 (#304)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.0 Micro |
|---|---|---|
| GPQA Diamond | — | 28.3% |
| MMLU-Pro | — | 39.5% |
| GPQA (HELM) | — | 30.7% |
| LMArena Expert | 1266 | — |
Multilingual Not comparable
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Granite 4.0 Micro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.0 Micro |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena Chinese | 1318 | — |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |
Instruction Following Granite 4.0 Micro leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Granite 4.0 Micro: 69.9 (#169)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.0 Micro |
|---|---|---|
| IFEval | — | 84.9% |
| LMArena Instruction Following | 1280 | — |
Long Context Not comparable
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Granite 4.0 Micro: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.0 Micro |
|---|---|---|
| LMArena Longer Query | 1301 | — |
Writing & Preference DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Granite 4.0 Micro: 46.7 (#216)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Granite 4.0 Micro |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| WildBench | — | 67% |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Granite 4.0 Micro?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 29.0 on the Noometry Index.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Granite 4.0 Micro share?
0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Granite 4.0 Micro has 8.