Model comparison
Interfaze Beta vs MAI-Thinking-1
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. Interfaze Beta and MAI-Thinking-1 share 2 comparable benchmark results. 1 of 8 categories are comparable. 8 results are unique to Interfaze Beta; 11 to MAI-Thinking-1.
Updated July 23, 2026- Shared results
- 2
- Interfaze Beta only
- 8
- MAI-Thinking-1 only
- 11
- Comparable categories
- 1 / 8
Treat this as a split decision. Interfaze Beta makes more sense if knowledge is the priority or you need the larger 1M context window; MAI-Thinking-1 is the better fit if its strengths line up with your actual workload.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results 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
Interfaze Beta 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.
Interfaze Beta gives you the larger context window at 1M, compared with 256K for MAI-Thinking-1.
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 | Interfaze Beta | Δ | MAI-Thinking-1 |
|---|---|---|---|
| Knowledge | Interfaze Beta89.9 | Margin← 17.4 | MAI-Thinking-172.5 |
| Agentic | Interfaze BetaNot measured | MarginNo overlap | MAI-Thinking-146.0 |
| Coding | Interfaze BetaNot measured | MarginNo overlap | MAI-Thinking-165.5 |
| Math | Interfaze BetaNot measured | MarginNo overlap | MAI-Thinking-189.7 |
| Multimodal | Interfaze Beta71.1 | MarginNo overlap | MAI-Thinking-1Not measured |
| Inst. Following | Interfaze BetaNot measured | MarginNo overlap | MAI-Thinking-185.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 89.9%B 84.2%Winner: Interfaze BetaΔ 5.7GPQA: Interfaze Beta scored 89.9%; MAI-Thinking-1 scored 84.2%. Interfaze Beta wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Interfaze Beta | MAI-Thinking-1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Interfaze Beta$1.5 input / $3.5 output | MAI-Thinking-1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Interfaze BetaNot available | MAI-Thinking-1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Interfaze BetaNot available | MAI-Thinking-1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Interfaze Beta1M | MAI-Thinking-1256K | Interfaze Beta lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Interfaze Beta | MAI-Thinking-1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 46% | Not comparable |
Coding4 benchmarks
Reasoning1 benchmarks
| Benchmark | Interfaze Beta | MAI-Thinking-1 | Result |
|---|---|---|---|
| Graphwalks BFS 128KSource | — | 90% | Not comparable |
KnowledgeInterfaze Beta wins5 benchmarks
Math3 benchmarks
Multimodal5 benchmarks
Frequently Asked Questions (2)
Which is better, Interfaze Beta or MAI-Thinking-1?
Interfaze Beta 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, Interfaze Beta or MAI-Thinking-1?
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 72.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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