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ZAYA1-74B-Preview

ZyphraCurrentReleased May 7, 2026
Overall Score
Unranked
Arena Elo
N/A
Categories Ranked
0of 8
Price (1M tokens)
$0 in / $0 out
Speed
N/A
Context
256K
Open WeightSelf-hostReasoning
Confidence
74b-preview

BenchLM is tracking ZAYA1-74B-Preview, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.

ZAYA1-74B-Preview is a open weight model with a 256K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

ZAYA1-74B-Preview sits inside the ZAYA1 family alongside ZAYA1-8B. This profile currently has 8 of 188 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Ranking Distribution

Category rank across 2 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

0.0/ 100
Weight: 22%2 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

59.8/ 100
Weight: 20%2 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

0.0/ 100
Weight: 17%0 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

54.7/ 100
Weight: 12%3 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

0.0/ 100
Weight: 5%1 benchmark
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

0.0/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

0.0/ 100
Weight: 12%0 benchmarks
MMMU-ProOfficeQA ProCharXivCharXiv w/o tools

Inst. Following

0.0/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Benchmark Details

Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.

ZAYA1 Family

74b-preview · preview

ZAYA1-8B

Compare This Model

See how ZAYA1-74B-Preview stacks up against similar models

ZAYA1-8BZyphra
—
Claude Mythos PreviewAnthropic
Prov. 99
Gemini 3.1 ProGoogle
Prov. 92
GPT-5.5OpenAI
Prov. 91
GPT-5.4 ProOpenAI
Prov. 91

Frequently Asked Questions

How does ZAYA1-74B-Preview perform overall in AI benchmarks?

ZAYA1-74B-Preview has 8 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is ZAYA1-74B-Preview good for knowledge and understanding?

ZAYA1-74B-Preview has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is ZAYA1-74B-Preview good for coding and programming?

ZAYA1-74B-Preview has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.

Is ZAYA1-74B-Preview good for mathematics?

ZAYA1-74B-Preview has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.

Is ZAYA1-74B-Preview good for agentic tool use and computer tasks?

ZAYA1-74B-Preview has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.

Is ZAYA1-74B-Preview open source?

Yes, ZAYA1-74B-Preview is an open weight model created by Zyphra, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

Which sibling models are related to ZAYA1-74B-Preview?

ZAYA1-74B-Preview belongs to the ZAYA1 family. Related variants on BenchLM include ZAYA1-8B.

Does ZAYA1-74B-Preview have full benchmark coverage on BenchLM?

Not yet. ZAYA1-74B-Preview currently has 8 published benchmark scores out of the 188 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of ZAYA1-74B-Preview?

ZAYA1-74B-Preview has a context window of 256K, which determines how much text it can process in a single interaction.

Related Resources

More from Zyphra LLM Pricing Comparison BenchLM Methodology The AI Race Which LLM Should I Use? Benchmark Explainers
Last updated: May 11, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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