Model comparison
Gemma 4 E4B vs Mistral Medium 3
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 E4B #155 (Estimated); Mistral Medium 3 #156 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 E4B and Mistral Medium 3 share 12 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Gemma 4 E4B; 1 to Mistral Medium 3.
Updated July 23, 2026- Shared results
- 12
- Gemma 4 E4B only
- 2
- Mistral Medium 3 only
- 1
- Comparable categories
- 0 / 8
Benchmark data for Gemma 4 E4B and Mistral Medium 3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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.
Mistral Medium 3 is priced at $0.40 input / $2.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 E4B.
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 | Gemma 4 E4B | Δ | Mistral Medium 3 |
|---|---|---|---|
| Knowledge | Gemma 4 E4B67.4 | MarginNo overlap | Mistral Medium 3Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 E4B | Mistral Medium 3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 E4B$0 input / $0 output | Mistral Medium 3$0.4 input / $2 output | Gemma 4 E4B has the lower combined listed price. |
| Generation speedtokens per second | Gemma 4 E4BNot available | Mistral Medium 357 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 E4BNot available | Mistral Medium 31.20 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 E4B128K | Mistral Medium 3128K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Gemma 4 E4B | Mistral Medium 3 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 20.8% | 24.3% | Mistral Medium 3 leads |
Coding1 benchmarks
| Benchmark | Gemma 4 E4B | Mistral Medium 3 | Result |
|---|---|---|---|
| AA-SciCodeSource | 24.4% | 33.1% | Mistral Medium 3 leads |
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Gemma 4 E4B | Mistral Medium 3 | Result |
|---|---|---|---|
| GPQASource | 58.6% | — | Not comparable |
| MMLU-ProSource | 69.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 12.5% | 12.5% | Gemma 4 E4B leads |
| AA-GPQA DiamondSource | 57.6% | 57.8% | Mistral Medium 3 leads |
| AA-HLESource | 3.7% | 4.3% | Mistral Medium 3 leads |
| AA-Omniscience IndexSource | -20.0% | -31.5% | Gemma 4 E4B leads |
| AA-Omniscience AccuracySource | 8.6% | 18.3% | Mistral Medium 3 leads |
| AA-Omniscience Hallucination RateSource | 31.3% | 60.9% | Gemma 4 E4B leads |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemma 4 E4B | Mistral Medium 3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 44.2% | 39.3% | Gemma 4 E4B leads |
Frequently Asked Questions (3)
Can I compare Gemma 4 E4B and Mistral Medium 3 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 Gemma 4 E4B and Mistral Medium 3 today?
Gemma 4 E4B: $0.00 input / $0.00 output per 1M tokens Mistral Medium 3: $0.40 input / $2.00 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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