Model comparison
DeepSeek V3.1 (Reasoning) vs Gemma 4 12B
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V3.1 (Reasoning) #97 (Supported); Gemma 4 12B #137 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.1 (Reasoning) and Gemma 4 12B share 11 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to DeepSeek V3.1 (Reasoning); 12 to Gemma 4 12B.
Updated July 23, 2026- Shared results
- 11
- DeepSeek V3.1 (Reasoning) only
- 1
- Gemma 4 12B only
- 12
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V3.1 (Reasoning) and Gemma 4 12B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Gemma 4 12B has the larger context window at 256K, compared with 128K for DeepSeek V3.1 (Reasoning).
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | DeepSeek V3.1 (Reasoning) | Δ | Gemma 4 12B |
|---|---|---|---|
| Reasoning | DeepSeek V3.1 (Reasoning)Not measured | MarginNo overlap | Gemma 4 12B43.4 |
| Knowledge | DeepSeek V3.1 (Reasoning)Not measured | MarginNo overlap | Gemma 4 12B77.5 |
| Math | DeepSeek V3.1 (Reasoning)Not measured | MarginNo overlap | Gemma 4 12B77.5 |
| Multimodal | DeepSeek V3.1 (Reasoning)Not measured | MarginNo overlap | Gemma 4 12B69.1 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3.1 (Reasoning) | Gemma 4 12B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.1 (Reasoning)$0 input / $0 output | Gemma 4 12BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V3.1 (Reasoning)Not available | Gemma 4 12BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V3.1 (Reasoning)Not available | Gemma 4 12BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V3.1 (Reasoning)128K | Gemma 4 12B256K | Gemma 4 12B lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | DeepSeek V3.1 (Reasoning) | Gemma 4 12B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 37.4% | 36.3% | DeepSeek V3.1 (Reasoning) leads |
Coding1 benchmarks
| Benchmark | DeepSeek V3.1 (Reasoning) | Gemma 4 12B | Result |
|---|---|---|---|
| AA-SciCodeSource | 39.1% | 38.2% | DeepSeek V3.1 (Reasoning) leads |
Reasoning4 benchmarks
Knowledge11 benchmarks
| Benchmark | DeepSeek V3.1 (Reasoning) | Gemma 4 12B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 20.7% | 22.0% | Gemma 4 12B leads |
| AA-GPQA DiamondSource | 77.9% | 75.3% | DeepSeek V3.1 (Reasoning) leads |
| AA-HLESource | 13.0% | 14.8% | Gemma 4 12B leads |
| AA-Omniscience IndexSource | -28.4% | -51.9% | DeepSeek V3.1 (Reasoning) leads |
| AA-Omniscience AccuracySource | 28.8% | 16.0% | DeepSeek V3.1 (Reasoning) leads |
| AA-Omniscience Hallucination RateSource | 80.3% | 80.8% | DeepSeek V3.1 (Reasoning) leads |
| GPQASource | — | 78.8% | Not comparable |
| GPQA-DSource | — | 78.8% | Not comparable |
| MMLU-ProSource | — | 77.2% | Not comparable |
| HLE w/o toolsSource | — | 5.2% | Not comparable |
| MMMLUSource | — | 83.4% | Not comparable |
Math1 benchmarks
| Benchmark | DeepSeek V3.1 (Reasoning) | Gemma 4 12B | Result |
|---|---|---|---|
| AIME26Source | — | 77.5% | Not comparable |
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | DeepSeek V3.1 (Reasoning) | Gemma 4 12B | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.5% | 73.5% | Gemma 4 12B leads |
Frequently Asked Questions (3)
Can I compare DeepSeek V3.1 (Reasoning) and Gemma 4 12B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for DeepSeek V3.1 (Reasoning) and Gemma 4 12B today?
DeepSeek V3.1 (Reasoning): $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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