Model comparison
DeepSeek V4 Pro vs Gemma 4 26B A4B IT
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 43.5 on the Noometry Index. Gemma 4 26B A4B IT costs 9.3× less per token, which makes it the better buy when DeepSeek V4 Pro's lead doesn't matter for your workload.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 8 categories and Gemma 4 26B A4B IT in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.5 to 21.8.
- The biggest single-benchmark swing is Chess Puzzles: 47% for DeepSeek V4 Pro and 6% for Gemma 4 26B A4B IT.
- Gemma 4 26B A4B IT is cheaper at $0.0675 / $0.23 per million input/output tokens, against $0.66 / $1.98 for DeepSeek V4 Pro.
- DeepSeek V4 Pro accepts more context: 1M tokens versus 262K.
Side by side
| DeepSeek V4 Pro | Gemma 4 26B A4B IT | |
|---|---|---|
| Provider | DeepSeek | |
| Noometry Index | 54.3 | 43.5 |
| Released | 2026-04-24 | 2026-04-02 |
| Weights | Open | Open |
| Context window | 1M | 262K |
| Max output | 393K | 33K |
| Input $ / M tokens | $0.66 | $0.0675 |
| Output $ / M tokens | $1.98 | $0.23 |
| Results tracked | 48 | 28 |
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Category by category
Coding DeepSeek V4 Pro leads
DeepSeek V4 Pro: 52.4 (#34), Gemma 4 26B A4B IT: 39.0 (#164)
| Benchmark | DeepSeek V4 Pro | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena WebDev | 1582 | 1359 |
| SciCode | 51% | 40% |
| WeirdML | 66.2% | 35.2% |
| LMArena Coding | 1470 | 1447 |
| ALE-Bench | 1,403 | 927.17 |
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
Agentic & Tool Use Not comparable
DeepSeek V4 Pro: 32.8 (#58), Gemma 4 26B A4B IT: —
| Benchmark | DeepSeek V4 Pro | Gemma 4 26B A4B IT |
|---|---|---|
| APEX-Agents | 47.3% | — |
| Vending-Bench 2 | 3,285 | — |
Reasoning DeepSeek V4 Pro leads
DeepSeek V4 Pro: 56.5 (#24), Gemma 4 26B A4B IT: 21.8 (#213)
| Benchmark | DeepSeek V4 Pro | Gemma 4 26B A4B IT |
|---|---|---|
| CritPt | 18% | 0% |
| Chess Puzzles | 47% | 6% |
| LMArena Hard Prompts | 1461 | 1439 |
| DTBench | 93.9% | 74.9% |
| LMCA | 45.5% | 29.7% |
| Epoch Capabilities Index | 155.31 | 141.85 |
| ARC-AGI-2 | 61.3% | — |
| Kagi LLM Benchmark | 53.5% | — |
| NYT Connections (extended) | 91.3% | — |
| ARC-AGI-1 | 90.5% | — |
| Mystery Game Puzzles | 43% | — |
| Surface Evolver Bench | 40% | — |
| ForecastBench | 56.1 | — |
Math DeepSeek V4 Pro leads
DeepSeek V4 Pro: 64.8 (#30), Gemma 4 26B A4B IT: 47.6 (#67)
| Benchmark | DeepSeek V4 Pro | Gemma 4 26B A4B IT |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.6% | 82.2% |
| LMArena Math | 1455 | 1470 |
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.6% | — |
| ProofBench | 50% | — |
Knowledge DeepSeek V4 Pro leads
DeepSeek V4 Pro: 59.5 (#31), Gemma 4 26B A4B IT: 45.7 (#85)
| Benchmark | DeepSeek V4 Pro | Gemma 4 26B A4B IT |
|---|---|---|
| GPQA Diamond | 91.7% | 73.2% |
| Vectara Hallucination Rate | 8.6% | 5.2% |
| LMArena Expert | 1464 | 1447 |
| SimpleQA Verified | 52.9% | — |
Multimodal Not comparable
DeepSeek V4 Pro: —, Gemma 4 26B A4B IT: 40.6 (#46)
| Benchmark | DeepSeek V4 Pro | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Vision | — | 1260 |
Multilingual DeepSeek V4 Pro leads
DeepSeek V4 Pro: 54.4 (#45), Gemma 4 26B A4B IT: 53.1 (#71)
| Benchmark | DeepSeek V4 Pro | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Non-English | 1439 | 1421 |
| LMArena Chinese | 1486 | 1495 |
| LMArena French | 1472 | 1460 |
| LMArena Russian | 1453 | 1434 |
| LMArena Spanish | 1458 | 1417 |
| LMArena German | 1458 | — |
| LMArena Japanese | 1445 | — |
| LMArena Korean | 1447 | — |
Instruction Following DeepSeek V4 Pro leads
DeepSeek V4 Pro: 76.1 (#47), Gemma 4 26B A4B IT: 74.8 (#82)
| Benchmark | DeepSeek V4 Pro | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Instruction Following | 1448 | 1420 |
Long Context DeepSeek V4 Pro leads
DeepSeek V4 Pro: 45.0 (#51), Gemma 4 26B A4B IT: 43.6 (#91)
| Benchmark | DeepSeek V4 Pro | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Longer Query | 1458 | 1428 |
| CL-bench Life | 13.5% | — |
Writing & Preference DeepSeek V4 Pro leads
DeepSeek V4 Pro: 65.5 (#46), Gemma 4 26B A4B IT: 58.6 (#115)
| Benchmark | DeepSeek V4 Pro | Gemma 4 26B A4B IT |
|---|---|---|
| LMArena Text | 1451 | 1434 |
| LMArena Creative Writing | 1446 | 1402 |
| EQ-Bench Creative Writing | 1553 | 1305 |
| LMArena Multi-Turn | 1467 | 1441 |
| EQ-Bench 4 | 1166 | — |
Frequently asked questions
Is DeepSeek V4 Pro better than Gemma 4 26B A4B IT?
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 43.5 on the Noometry Index. Gemma 4 26B A4B IT costs 9.3× 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 Gemma 4 26B A4B IT?
Gemma 4 26B A4B IT is cheaper. It lists at $0.0675 per million input tokens and $0.23 per million output tokens; DeepSeek V4 Pro lists at $0.66 and $1.98.
Is DeepSeek V4 Pro or Gemma 4 26B A4B IT better for coding?
DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 39.0 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4 Pro does, with 1M tokens against 262K.
How many benchmarks do DeepSeek V4 Pro and Gemma 4 26B A4B IT share?
27 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Gemma 4 26B A4B IT has 28.