Model comparison
Gemma 4 26B A4B vs Mistral Medium 3.5 128B
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 26B A4B #74 (Supported); 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 26B A4B and Mistral Medium 3.5 128B share 16 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Gemma 4 26B A4B; 9 to Mistral Medium 3.5 128B.
Updated July 27, 2026- Shared results
- 16
- Gemma 4 26B A4B only
- 4
- Mistral Medium 3.5 128B only
- 9
- Comparable categories
- 0 / 8
Benchmark data for Gemma 4 26B A4B and Mistral Medium 3.5 128B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 16 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 3.5 128B is priced at $1.50 input / $7.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 26B A4B.
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 26B A4B | Δ | Mistral Medium 3.5 128B |
|---|---|---|---|
| Coding | Gemma 4 26B A4BNot measured | MarginNo overlap | Mistral Medium 3.5 128B77.6 |
| Knowledge | Gemma 4 26B A4B43.4 | MarginNo overlap | Mistral Medium 3.5 128BNot measured |
| Multimodal | Gemma 4 26B A4B73.8 | 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 26B A4B | Mistral Medium 3.5 128B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 26B A4B$0 input / $0 output | Mistral Medium 3.5 128B$1.5 input / $7.5 output | Gemma 4 26B A4B has the lower combined listed price. |
| Generation speedtokens per second | Gemma 4 26B A4BNot available | Mistral Medium 3.5 128BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 26B A4BNot available | Mistral Medium 3.5 128BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 26B A4B256K | Mistral Medium 3.5 128B256K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | Gemma 4 26B A4B | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| AA Agentic IndexSource | 11.0% | 19.0% | Mistral Medium 3.5 128B leads |
| τ²-bench resultsSource | 43.6% | 94.2% | Mistral Medium 3.5 128B leads |
| GDPval-AASource | 13.5% | 21.6% | Mistral Medium 3.5 128B leads |
| GDPval-AASource | 770 | 933 | Mistral Medium 3.5 128B leads |
| τ³-bench resultsSource | — | 91.4% | Not comparable |
| Gert LabsSource | — | 39.10% | Not comparable |
| AA EnterpriseOps-GymSource | — | 33.7% | Not comparable |
| AA Harvey LABSource | — | 69.1% | Not comparable |
| terminalBenchHardSource | — | 33.3% | Not comparable |
| AA BriefcaseSource | — | 516 | Not comparable |
| AA Tau3 BankingSource | — | 14.4% | Not comparable |
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Gemma 4 26B A4B | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| MMLU-ProSource | 82.6% | — | Not comparable |
| HLESource | 17.2% | — | Not comparable |
| HLE w/o toolsSource | 8.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 25.7% | 29.9% | Mistral Medium 3.5 128B leads |
| AA-GPQA DiamondSource | 79.2% | 74.8% | Gemma 4 26B A4B leads |
| AA-HLESource | 18.3% | 12.8% | Gemma 4 26B A4B leads |
| AA-Omniscience IndexSource | -48.1% | -36.3% | Mistral Medium 3.5 128B leads |
| AA-Omniscience AccuracySource | 18.2% | 25.1% | Mistral Medium 3.5 128B leads |
| AA-Omniscience Hallucination RateSource | 80.9% | 82.0% | Gemma 4 26B A4B leads |
| AA Openness IndexSource | — | 33.3% | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemma 4 26B A4B | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| AA-IFBenchSource | 72.4% | 68.8% | Gemma 4 26B A4B leads |
Frequently Asked Questions (3)
Can I compare Gemma 4 26B A4B 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 26B A4B and Mistral Medium 3.5 128B today?
Gemma 4 26B A4B: $0.00 input / $0.00 output per 1M tokens 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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