Model comparison
Gemma 4 12B vs MiniMax M2.5
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 12B #137 (Estimated); MiniMax M2.5 #55 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 12B and MiniMax M2.5 share 0 comparable benchmark results. 0 of 8 categories are comparable. 23 results are unique to Gemma 4 12B; 1 to MiniMax M2.5.
Updated July 23, 2026- Shared results
- 0
- Gemma 4 12B only
- 23
- MiniMax M2.5 only
- 1
- Comparable categories
- 0 / 8
Benchmark data for Gemma 4 12B and MiniMax M2.5 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 MiniMax M2.5.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 12B | MiniMax M2.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 12BNot available | MiniMax M2.5$0.3 input / $1.2 output | A complete price comparison is not available. |
| Generation speedtokens per second | Gemma 4 12BNot available | MiniMax M2.546 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 12BNot available | MiniMax M2.52.12 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 12B256K | MiniMax M2.5128K | Gemma 4 12B lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Gemma 4 12B | MiniMax M2.5 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 36.3% | — | Not comparable |
Coding2 benchmarks
Reasoning4 benchmarks
Knowledge11 benchmarks
| Benchmark | Gemma 4 12B | MiniMax M2.5 | 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% | — | Not comparable |
| AA-GPQA DiamondSource | 75.3% | — | Not comparable |
| AA-HLESource | 14.8% | — | Not comparable |
| AA-Omniscience IndexSource | -51.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 16.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 80.8% | — | Not comparable |
Math1 benchmarks
| Benchmark | Gemma 4 12B | MiniMax M2.5 | Result |
|---|---|---|---|
| AIME26Source | 77.5% | — | Not comparable |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemma 4 12B | MiniMax M2.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.5% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemma 4 12B and MiniMax M2.5 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 MiniMax M2.5 today?
MiniMax M2.5: $0.30 input / $1.20 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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