Model comparison
Gemma 4 26B A4B vs MAI-Thinking-1
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 26B A4B #67 (Supported); MAI-Thinking-1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 26B A4B and MAI-Thinking-1 share 1 comparable benchmark result. 1 of 8 categories are comparable. 19 results are unique to Gemma 4 26B A4B; 12 to MAI-Thinking-1.
Updated July 23, 2026- Shared results
- 1
- Gemma 4 26B A4B only
- 19
- MAI-Thinking-1 only
- 12
- Comparable categories
- 1 / 8
Treat this as a split decision. Gemma 4 26B A4B makes more sense if its workflow fits your team better; MAI-Thinking-1 is the better fit if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Gemma 4 26B A4B and MAI-Thinking-1 finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
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 | MAI-Thinking-1 |
|---|---|---|---|
| Knowledge | Gemma 4 26B A4B43.4 | Margin→ 29.1 | MAI-Thinking-172.5 |
| Agentic | Gemma 4 26B A4BNot measured | MarginNo overlap | MAI-Thinking-146.0 |
| Coding | Gemma 4 26B A4BNot measured | MarginNo overlap | MAI-Thinking-165.5 |
| Math | Gemma 4 26B A4BNot measured | MarginNo overlap | MAI-Thinking-189.7 |
| Multimodal | Gemma 4 26B A4B73.8 | MarginNo overlap | MAI-Thinking-1Not measured |
| Inst. Following | Gemma 4 26B A4BNot measured | MarginNo overlap | MAI-Thinking-185.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMLU-Pro
KnowledgeA 82.6%B 85%Winner: MAI-Thinking-1Δ 2.4MMLU-Pro: Gemma 4 26B A4B scored 82.6%; MAI-Thinking-1 scored 85%. MAI-Thinking-1 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 26B A4B | MAI-Thinking-1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 26B A4B$0 input / $0 output | MAI-Thinking-1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemma 4 26B A4BNot available | MAI-Thinking-1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 26B A4BNot available | MAI-Thinking-1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 26B A4B256K | MAI-Thinking-1256K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding5 benchmarks
Reasoning3 benchmarks
KnowledgeMAI-Thinking-1 wins12 benchmarks
| Benchmark | Gemma 4 26B A4B | MAI-Thinking-1 | Result |
|---|---|---|---|
| MMLU-ProSource | 82.6% | 85% | MAI-Thinking-1 leads |
| HLESource | 17.2% | — | Not comparable |
| HLE w/o toolsSource | 8.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 25.7% | — | Not comparable |
| AA-GPQA DiamondSource | 79.2% | — | Not comparable |
| AA-HLESource | 18.3% | — | Not comparable |
| AA-Omniscience IndexSource | -48.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 18.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 80.9% | — | Not comparable |
| GPQASource | — | 84.2% | Not comparable |
| GPQA-DSource | — | 84.2% | Not comparable |
| SimpleQASource | — | 31% | Not comparable |
Math3 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, Gemma 4 26B A4B or MAI-Thinking-1?
Gemma 4 26B A4B and MAI-Thinking-1 are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, Gemma 4 26B A4B or MAI-Thinking-1?
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 72.5 versus 43.4. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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