Model comparison
DeepSeek V4 Flash vs Granite 4.2 30b
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 41.8 on the Noometry Index.
Last verified . 11 shared benchmarks.
DeepSeekSummary
- They share 11 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 7 categories and Granite 4.2 30b in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 27.8.
Side by side
| DeepSeek V4 Flash | Granite 4.2 30b | |
|---|---|---|
| Provider | DeepSeek | IBM |
| Noometry Index | 53.6 | 41.8 |
| Released | 2026-04-24 | — |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 11 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), Granite 4.2 30b: 41.0 (#126)
| Benchmark | DeepSeek V4 Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Coding | 1457 | 1396 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Granite 4.2 30b: 27.8 (#112)
| Benchmark | DeepSeek V4 Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1374 |
| 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% | — |
| Chess Puzzles | 33% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |
| Epoch Capabilities Index | 154.49 | — |
Math Not comparable
DeepSeek V4 Flash: 60.3 (#37), Granite 4.2 30b: —
| Benchmark | DeepSeek V4 Flash | Granite 4.2 30b |
|---|---|---|
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| ProofBench | 56% | — |
| LMArena Math | 1427 | — |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), Granite 4.2 30b: 39.1 (#138)
| Benchmark | DeepSeek V4 Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Expert | 1441 | 1406 |
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
Multilingual DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.0 (#72), Granite 4.2 30b: 47.3 (#151)
| Benchmark | DeepSeek V4 Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Non-English | 1420 | 1340 |
| LMArena Chinese | 1468 | 1414 |
| LMArena Russian | 1428 | 1343 |
| LMArena French | 1439 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1384 | — |
| LMArena Spanish | 1436 | — |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 74.9 (#81), Granite 4.2 30b: 71.2 (#155)
| Benchmark | DeepSeek V4 Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Instruction Following | 1421 | 1347 |
Long Context DeepSeek V4 Flash leads
DeepSeek V4 Flash: 43.8 (#85), Granite 4.2 30b: 41.4 (#140)
| Benchmark | DeepSeek V4 Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Longer Query | 1434 | 1359 |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Granite 4.2 30b: 53.8 (#156)
| Benchmark | DeepSeek V4 Flash | Granite 4.2 30b |
|---|---|---|
| LMArena Text | 1432 | 1361 |
| LMArena Creative Writing | 1403 | 1288 |
| LMArena Multi-Turn | 1449 | 1339 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Granite 4.2 30b?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 41.8 on the Noometry Index.
Is DeepSeek V4 Flash or Granite 4.2 30b better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 41.0 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Flash and Granite 4.2 30b share?
11 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Granite 4.2 30b has 11.