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Model comparison

MAI-Thinking-1 vs ZAYA1-74B-Preview

Data verified

Head-to-head evidence from 5 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

N/A
No comparison
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3 category wins0 category wins

Evidence parity. MAI-Thinking-1 and ZAYA1-74B-Preview share 5 comparable benchmark results. 3 of 8 categories are comparable. 8 results are unique to MAI-Thinking-1; 2 to ZAYA1-74B-Preview.

Updated July 23, 2026
Shared results
5
MAI-Thinking-1 only
8
ZAYA1-74B-Preview only
2
Comparable categories
3 / 8

Treat this as a split decision. MAI-Thinking-1 makes more sense if mathematics is the priority; ZAYA1-74B-Preview is the better fit if its strengths line up with your actual workload.

Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 3 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

MAI-Thinking-1 and ZAYA1-74B-Preview 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 scores and score margins for MAI-Thinking-1 and ZAYA1-74B-Preview
CategoryMAI-Thinking-1ΔZAYA1-74B-Preview
MathMAI-Thinking-189.7Margin← 13.3ZAYA1-74B-Preview76.4
CodingMAI-Thinking-165.5Margin← 12.3ZAYA1-74B-Preview53.2
KnowledgeMAI-Thinking-172.5Margin← 6.4ZAYA1-74B-Preview66.1
AgenticMAI-Thinking-146.0MarginNo overlapZAYA1-74B-PreviewNot measured
Inst. FollowingMAI-Thinking-185.0MarginNo overlapZAYA1-74B-PreviewNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · MAI-Thinking-1B · ZAYA1-74B-Preview

  1. GPQA

    Knowledge
    Source ↗
    A 84.2%B 57.3%
    Winner: MAI-Thinking-1Δ 26.9
    GPQA: MAI-Thinking-1 scored 84.2%; ZAYA1-74B-Preview scored 57.3%. MAI-Thinking-1 wins this benchmark.

  2. SWE-bench Verified

    Coding
    Source ↗
    A 73.5%B 53.2%
    Winner: MAI-Thinking-1Δ 20.3
    SWE-bench Verified: MAI-Thinking-1 scored 73.5%; ZAYA1-74B-Preview scored 53.2%. MAI-Thinking-1 wins this benchmark.

  3. AIME26

    Math
    Source ↗
    A 94.5%B 76.4%
    Winner: MAI-Thinking-1Δ 18.1
    AIME26: MAI-Thinking-1 scored 94.5%; ZAYA1-74B-Preview scored 76.4%. MAI-Thinking-1 wins this benchmark.

  4. MMLU-Pro

    Knowledge
    Source ↗
    A 85%B 68.1%
    Winner: MAI-Thinking-1Δ 16.9
    MMLU-Pro: MAI-Thinking-1 scored 85%; ZAYA1-74B-Preview scored 68.1%. MAI-Thinking-1 wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricMAI-Thinking-1ZAYA1-74B-PreviewComparison
Input / output priceUSD per 1M tokensMAI-Thinking-1Not availableZAYA1-74B-Preview$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondMAI-Thinking-1Not availableZAYA1-74B-PreviewNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenMAI-Thinking-1Not availableZAYA1-74B-PreviewNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensMAI-Thinking-1256KZAYA1-74B-Preview256KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkMAI-Thinking-1ZAYA1-74B-PreviewResult
Terminal-Bench 2.0Source 46%—Not comparable
τ²-bench AirlineSource —56.1%Not comparable
CodingMAI-Thinking-1 wins
BenchmarkMAI-Thinking-1ZAYA1-74B-PreviewResult
SWE-bench VerifiedSource 73.5%53.2%MAI-Thinking-1 leads
SWE-bench ProSource 52.8%—Not comparable
Terminal-Bench 2.0Source 46.0%—Not comparable
LiveCodeBench v6Source —65.7%Not comparable
Reasoning
BenchmarkMAI-Thinking-1ZAYA1-74B-PreviewResult
Graphwalks BFS 128KSource 90%—Not comparable
KnowledgeMAI-Thinking-1 wins
BenchmarkMAI-Thinking-1ZAYA1-74B-PreviewResult
GPQASource 84.2%57.3%MAI-Thinking-1 leads
GPQA-DSource 84.2%57.3%MAI-Thinking-1 leads
MMLU-ProSource 85%68.1%MAI-Thinking-1 leads
SimpleQASource 31%—Not comparable
MathMAI-Thinking-1 wins
BenchmarkMAI-Thinking-1ZAYA1-74B-PreviewResult
AIME 2025Source 97%—Not comparable
AIME26Source 94.5%76.4%MAI-Thinking-1 leads
HMMT Feb 2026Source 84.9%—Not comparable
Inst. Following
BenchmarkMAI-Thinking-1ZAYA1-74B-PreviewResult
IFBenchSource 85%—Not comparable
Frequently Asked Questions (4)

Which is better, MAI-Thinking-1 or ZAYA1-74B-Preview?

MAI-Thinking-1 and ZAYA1-74B-Preview 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, MAI-Thinking-1 or ZAYA1-74B-Preview?

MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 72.5 versus 66.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for coding, MAI-Thinking-1 or ZAYA1-74B-Preview?

MAI-Thinking-1 has the edge for coding in this comparison, averaging 65.5 versus 53.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

Which is better for math, MAI-Thinking-1 or ZAYA1-74B-Preview?

MAI-Thinking-1 has the edge for math in this comparison, averaging 89.7 versus 76.4. Inside this category, AIME26 is the benchmark that creates the most daylight between them.

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