Model comparison
Claude Opus 4.6 (Adaptive) vs MAI-Thinking-1
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: Claude Opus 4.6 (Adaptive) #35 (Estimated); MAI-Thinking-1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.6 (Adaptive) and MAI-Thinking-1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 16 results are unique to Claude Opus 4.6 (Adaptive); 13 to MAI-Thinking-1.
Updated July 23, 2026- Shared results
- 0
- Claude Opus 4.6 (Adaptive) only
- 16
- MAI-Thinking-1 only
- 13
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.6 (Adaptive) and MAI-Thinking-1 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.
Claude Opus 4.6 (Adaptive) has the larger context window at 1M, compared with 256K for MAI-Thinking-1.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.6 (Adaptive) | MAI-Thinking-1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.6 (Adaptive)Not available | MAI-Thinking-1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.6 (Adaptive)Not available | MAI-Thinking-1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.6 (Adaptive)Not available | MAI-Thinking-1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.6 (Adaptive)1M | MAI-Thinking-1256K | Claude Opus 4.6 (Adaptive) lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding5 benchmarks
Reasoning3 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Opus 4.6 (Adaptive) | MAI-Thinking-1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 43.7% | — | Not comparable |
| AA-GPQA DiamondSource | 89.6% | — | Not comparable |
| AA-HLESource | 36.7% | — | Not comparable |
| AA-Omniscience IndexSource | 13.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 46.4% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 61.3% | — | Not comparable |
| GPQASource | — | 84.2% | Not comparable |
| GPQA-DSource | — | 84.2% | Not comparable |
| MMLU-ProSource | — | 85% | Not comparable |
| SimpleQASource | — | 31% | Not comparable |
Math3 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.6 (Adaptive) | MAI-Thinking-1 | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 92.2% | — | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (2)
Can I compare Claude Opus 4.6 (Adaptive) and MAI-Thinking-1 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.
Related Comparisons
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.