Model comparison
DeepSeek-R1 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-R1 #103 (Supported); Gemma 4 12B #137 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek-R1 and Gemma 4 12B share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek-R1; 12 to Gemma 4 12B.
Updated July 23, 2026- Shared results
- 11
- DeepSeek-R1 only
- 0
- Gemma 4 12B only
- 12
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek-R1 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-R1.
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-R1 | Δ | Gemma 4 12B |
|---|---|---|---|
| Reasoning | DeepSeek-R1Not measured | MarginNo overlap | Gemma 4 12B43.4 |
| Knowledge | DeepSeek-R1Not measured | MarginNo overlap | Gemma 4 12B77.5 |
| Math | DeepSeek-R1Not measured | MarginNo overlap | Gemma 4 12B77.5 |
| Multimodal | DeepSeek-R1Not 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-R1 | Gemma 4 12B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek-R1$0.55 input / $2.19 output | Gemma 4 12BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek-R1Not available | Gemma 4 12BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek-R1Not available | Gemma 4 12BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek-R1128K | Gemma 4 12B256K | Gemma 4 12B lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | DeepSeek-R1 | Gemma 4 12B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 36.5% | 36.3% | DeepSeek-R1 leads |
Coding1 benchmarks
| Benchmark | DeepSeek-R1 | Gemma 4 12B | Result |
|---|---|---|---|
| AA-SciCodeSource | 40.3% | 38.2% | DeepSeek-R1 leads |
Reasoning4 benchmarks
Knowledge11 benchmarks
| Benchmark | DeepSeek-R1 | Gemma 4 12B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 20.1% | 22.0% | Gemma 4 12B leads |
| AA-GPQA DiamondSource | 81.3% | 75.3% | DeepSeek-R1 leads |
| AA-HLESource | 14.9% | 14.8% | DeepSeek-R1 leads |
| AA-Omniscience IndexSource | -27.1% | -51.9% | DeepSeek-R1 leads |
| AA-Omniscience AccuracySource | 31.0% | 16.0% | DeepSeek-R1 leads |
| AA-Omniscience Hallucination RateSource | 84.0% | 80.8% | Gemma 4 12B 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-R1 | Gemma 4 12B | Result |
|---|---|---|---|
| AIME26Source | — | 77.5% | Not comparable |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | DeepSeek-R1 | Gemma 4 12B | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.6% | 73.5% | Gemma 4 12B leads |
Frequently Asked Questions (3)
Can I compare DeepSeek-R1 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-R1 and Gemma 4 12B today?
DeepSeek-R1: $0.55 input / $2.19 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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