Model comparison
DeepSeek R1 Distill Qwen 32B vs Gemma 4 E2B
Head-to-head evidence from 6 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek R1 Distill Qwen 32B #160 (Estimated); Gemma 4 E2B #162 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek R1 Distill Qwen 32B and Gemma 4 E2B share 6 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek R1 Distill Qwen 32B; 8 to Gemma 4 E2B.
Updated July 23, 2026- Shared results
- 6
- DeepSeek R1 Distill Qwen 32B only
- 0
- Gemma 4 E2B only
- 8
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek R1 Distill Qwen 32B and Gemma 4 E2B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 6 shared benchmark results across 4 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.
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 Distill Qwen 32B | Δ | Gemma 4 E2B |
|---|---|---|---|
| Knowledge | DeepSeek R1 Distill Qwen 32BNot measured | MarginNo overlap | Gemma 4 E2B56.9 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek R1 Distill Qwen 32B | Gemma 4 E2B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek R1 Distill Qwen 32B$0 input / $0 output | Gemma 4 E2B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | DeepSeek R1 Distill Qwen 32B60 tok/s | Gemma 4 E2BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek R1 Distill Qwen 32B0.84 s | Gemma 4 E2BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek R1 Distill Qwen 32B128K | Gemma 4 E2B128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | Gemma 4 E2B | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 20.8% | Not comparable |
Coding1 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | Gemma 4 E2B | Result |
|---|---|---|---|
| AA-SciCodeSource | 37.6% | 20.9% | DeepSeek R1 Distill Qwen 32B leads |
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | Gemma 4 E2B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 11.0% | 9.3% | DeepSeek R1 Distill Qwen 32B leads |
| AA-GPQA DiamondSource | 61.5% | 37.5% | DeepSeek R1 Distill Qwen 32B leads |
| AA-HLESource | 5.5% | 4.8% | DeepSeek R1 Distill Qwen 32B leads |
| GPQASource | — | 43.4% | Not comparable |
| MMLU-ProSource | — | 60% | Not comparable |
| AA-Omniscience IndexSource | — | -24.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 6.7% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 32.9% | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | Gemma 4 E2B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 44.6% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek R1 Distill Qwen 32B | Gemma 4 E2B | Result |
|---|---|---|---|
| AA-IFBenchSource | 22.9% | 35.1% | Gemma 4 E2B leads |
Frequently Asked Questions (3)
Can I compare DeepSeek R1 Distill Qwen 32B and Gemma 4 E2B 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 Distill Qwen 32B and Gemma 4 E2B today?
DeepSeek R1 Distill Qwen 32B: $0.00 input / $0.00 output per 1M tokens Gemma 4 E2B: $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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