Model comparison
Gemma 4 12B vs Mistral Medium 3.5 128B
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 12B #137 (Estimated); Mistral Medium 3.5 128B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 12B and Mistral Medium 3.5 128B share 12 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to Gemma 4 12B; 13 to Mistral Medium 3.5 128B.
Updated July 23, 2026- Shared results
- 12
- Gemma 4 12B only
- 11
- Mistral Medium 3.5 128B only
- 13
- Comparable categories
- 0 / 8
Benchmark data for Gemma 4 12B and Mistral Medium 3.5 128B 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.
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 12B | Δ | Mistral Medium 3.5 128B |
|---|---|---|---|
| Coding | Gemma 4 12BNot measured | MarginNo overlap | Mistral Medium 3.5 128B77.6 |
| Reasoning | Gemma 4 12B43.4 | MarginNo overlap | Mistral Medium 3.5 128BNot measured |
| Knowledge | Gemma 4 12B77.5 | MarginNo overlap | Mistral Medium 3.5 128BNot measured |
| Math | Gemma 4 12B77.5 | MarginNo overlap | Mistral Medium 3.5 128BNot measured |
| Multimodal | Gemma 4 12B69.1 | MarginNo overlap | Mistral Medium 3.5 128BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 12B | Mistral Medium 3.5 128B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 12BNot available | Mistral Medium 3.5 128B$1.5 input / $7.5 output | A complete price comparison is not available. |
| Generation speedtokens per second | Gemma 4 12BNot available | Mistral Medium 3.5 128BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 12BNot available | Mistral Medium 3.5 128BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 12B256K | Mistral Medium 3.5 128B256K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | Gemma 4 12B | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 36.3% | 94.2% | Mistral Medium 3.5 128B leads |
| τ³-bench resultsSource | — | 91.4% | Not comparable |
| AA Agentic IndexSource | — | 19.0% | Not comparable |
| GDPval-AASource | — | 21.4% | Not comparable |
| GDPval-AASource | — | 929 | Not comparable |
| Gert LabsSource | — | 39.10% | Not comparable |
| AA BriefcaseSource | — | 506 | Not comparable |
| AA EnterpriseOps-GymSource | — | 33.7% | Not comparable |
| AA Harvey LABSource | — | 69.1% | Not comparable |
| AA Tau3 BankingSource | — | 14.4% | Not comparable |
| terminalBenchHardSource | — | 33.3% | Not comparable |
Coding3 benchmarks
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | Gemma 4 12B | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| 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 |
| Artificial Analysis Intelligence IndexSource | 22.0% | 29.9% | Mistral Medium 3.5 128B leads |
| AA-GPQA DiamondSource | 75.3% | 74.8% | Gemma 4 12B leads |
| AA-HLESource | 14.8% | 12.8% | Gemma 4 12B leads |
| AA-Omniscience IndexSource | -51.9% | -36.3% | Mistral Medium 3.5 128B leads |
| AA-Omniscience AccuracySource | 16.0% | 25.1% | Mistral Medium 3.5 128B leads |
| AA-Omniscience Hallucination RateSource | 80.8% | 82.0% | Gemma 4 12B leads |
| AA Openness IndexSource | — | 33.3% | Not comparable |
Math1 benchmarks
| Benchmark | Gemma 4 12B | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| AIME26Source | 77.5% | — | Not comparable |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemma 4 12B | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.5% | 68.8% | Gemma 4 12B leads |
Frequently Asked Questions (3)
Can I compare Gemma 4 12B and Mistral Medium 3.5 128B 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 12B and Mistral Medium 3.5 128B today?
Mistral Medium 3.5 128B: $1.50 input / $7.50 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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