Model comparison
DeepSeek V4 Pro vs Granite 4.0 Micro
DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 13× less per token, which makes it the better buy when DeepSeek V4 Pro'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 Pro 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 Pro leads 64.6 to 11.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.6% for DeepSeek V4 Pro 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 $0.43 / $0.87 for DeepSeek V4 Pro.
- DeepSeek V4 Pro accepts more context: 1M tokens versus 131K.
Side by side
| DeepSeek V4 Pro | Granite 4.0 Micro | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 54.2 | 28.8 |
| Released | 2026-04-24 | 2025-10-02 |
| Weights | Open | Open |
| Context window | 1M | 131K |
| Max output | 393K | 118K |
| Input $ / M tokens | $0.43 | $0.017 |
| Output $ / M tokens | $0.87 | $0.11 |
| Results tracked | 48 | 8 |
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Category by category
Coding Not comparable
DeepSeek V4 Pro: 52.2 (#31), Granite 4.0 Micro: —
| Benchmark | DeepSeek V4 Pro | Granite 4.0 Micro |
|---|---|---|
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 51% | — |
| WeirdML | 66.2% | — |
| LMArena Coding | 1470 | — |
| ALE-Bench | 1,403 | — |
Agentic & Tool Use Not comparable
DeepSeek V4 Pro: 32.7 (#54), Granite 4.0 Micro: —
| Benchmark | DeepSeek V4 Pro | Granite 4.0 Micro |
|---|---|---|
| APEX-Agents | 47.3% | — |
| Vending-Bench 2 | 3,285 | — |
Reasoning DeepSeek V4 Pro leads
DeepSeek V4 Pro: 56.4 (#22), Granite 4.0 Micro: 18.5 (#261)
| Benchmark | DeepSeek V4 Pro | Granite 4.0 Micro |
|---|---|---|
| Chess Puzzles | 47% | 0% |
| ARC-AGI-2 | 61.3% | — |
| Kagi LLM Benchmark | 53.5% | — |
| NYT Connections (extended) | 91.3% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | 18% | — |
| LMArena Hard Prompts | 1461 | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 93.9% | — |
| LMCA | 45.5% | — |
| Surface Evolver Bench | 40% | — |
| Epoch Capabilities Index | 155.39 | — |
| ForecastBench | 56.1 | — |
Math DeepSeek V4 Pro leads
DeepSeek V4 Pro: 64.6 (#24), Granite 4.0 Micro: 11.2 (#301)
| Benchmark | DeepSeek V4 Pro | Granite 4.0 Micro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.6% | 2.8% |
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.6% | — |
| ProofBench | 50% | — |
| Omni-MATH | — | 20.9% |
| LMArena Math | 1455 | — |
Knowledge DeepSeek V4 Pro leads
DeepSeek V4 Pro: 59.5 (#28), Granite 4.0 Micro: 9.9 (#299)
| Benchmark | DeepSeek V4 Pro | Granite 4.0 Micro |
|---|---|---|
| GPQA Diamond | 91.7% | 28.3% |
| SimpleQA Verified | 52.9% | — |
| MMLU-Pro | — | 39.5% |
| Vectara Hallucination Rate | 8.6% | — |
| GPQA (HELM) | — | 30.7% |
| LMArena Expert | 1463 | — |
Multilingual Not comparable
DeepSeek V4 Pro: 54.5 (#44), Granite 4.0 Micro: —
| Benchmark | DeepSeek V4 Pro | Granite 4.0 Micro |
|---|---|---|
| LMArena Non-English | 1438 | — |
| LMArena Chinese | 1486 | — |
| LMArena French | 1473 | — |
| LMArena German | 1458 | — |
| LMArena Japanese | 1448 | — |
| LMArena Korean | 1452 | — |
| LMArena Russian | 1452 | — |
| LMArena Spanish | 1457 | — |
Instruction Following DeepSeek V4 Pro leads
DeepSeek V4 Pro: 76.3 (#44), Granite 4.0 Micro: 70.0 (#164)
| Benchmark | DeepSeek V4 Pro | Granite 4.0 Micro |
|---|---|---|
| IFEval | — | 84.9% |
| LMArena Instruction Following | 1448 | — |
Long Context Not comparable
DeepSeek V4 Pro: 45.0 (#49), Granite 4.0 Micro: —
| Benchmark | DeepSeek V4 Pro | Granite 4.0 Micro |
|---|---|---|
| CL-bench Life | 13.5% | — |
| LMArena Longer Query | 1459 | — |
Writing & Preference DeepSeek V4 Pro leads
DeepSeek V4 Pro: 65.6 (#45), Granite 4.0 Micro: 46.7 (#212)
| Benchmark | DeepSeek V4 Pro | Granite 4.0 Micro |
|---|---|---|
| LMArena Text | 1451 | — |
| LMArena Creative Writing | 1446 | — |
| EQ-Bench Creative Writing | 1553 | — |
| WildBench | — | 67% |
| EQ-Bench 4 | 1166 | — |
| LMArena Multi-Turn | 1467 | — |
Frequently asked questions
Is DeepSeek V4 Pro better than Granite 4.0 Micro?
DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 13× less per token, which makes it the better buy when DeepSeek V4 Pro's lead doesn't matter for your workload.
Which is cheaper, DeepSeek V4 Pro 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 Pro lists at $0.43 and $0.87.
Which has the bigger context window?
DeepSeek V4 Pro does, with 1M tokens against 131K.
How many benchmarks do DeepSeek V4 Pro and Granite 4.0 Micro share?
3 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Granite 4.0 Micro has 8.