Capability
Unranked
field median 56.3
Not eligible for a public rank
ZAYA1-8B
Decision reading
ZAYA1-8B is tracked, but not publicly ranked yet. The profile exposes 11 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released May 5, 2026 — see all recent releases
Data as of September 18, 2026 · How the score is built
ZAYA1-8B will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
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Strongest published evidence
Agentic ranks #82. Particularly useful for coding agents, browser research, and computer-use workflows.
Validate before choosing
11 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Price
Self-hosted; infrastructure cost varies
input median $0.95
No comparable first-party hosted token rate
Speed
Not measured
field median 90 tok/s
Time to first token not measured
Context
131Ktokens
field median 256,000
Reported for this model; direct source link not stored
How much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic1/1 verified
- Coding1/1 verified
- ReasoningNot measured
- Knowledge3/3 verified
- Math4/4 verified
- MultilingualNot measured
- MultimodalNot measured
- Inst. Following2/2 verified
Verified sourceProvisionalNot measured
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #82 of 154Percentile 47thWeight 22%1 benchmarkVerified | 46.1 | #82 of 154 | 47th | 22% | 1 benchmark | Verified |
| CodingWeight 20%1 benchmarkVerified | Score pending | Not ranked | Not available | 20% | 1 benchmark | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank #120 of 184Percentile 35thWeight 12%3 benchmarksVerified | 43.6 | #120 of 184 | 35th | 12% | 3 benchmarks | Verified |
| MathRank Not rankedWeight 5%4 benchmarksVerified | 61.3 | Not ranked | Not available | 5% | 4 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingRank #121 of 124Percentile 2ndWeight 5%2 benchmarksVerified | 23.5 | #121 of 124 | 2nd | 5% | 2 benchmarks | Verified |
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| LiveCodeBench v6 | Score65.8% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.2% | Gap27.4 behind | WeightDisplay only | Provider exact |
Agentic1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| BFCL v4Berkeley Function Calling Leaderboard v4 | Score39.2% | Versus best verified row Best verified: BTL-3 · 88.5% | Gap49.3 behind | WeightDisplay only | Provider exact |
Knowledge3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-ProMassive Multitask Language Understanding Professional | Score74.2% | Versus best verified row Best verified: Qwen3.7 Max · 89.6% | Gap15.4 behind | WeightWeighted 20% | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score71% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap25 behind | WeightWeighted 7% | Provider exact |
| GPQA-DGPQA Diamond | Score71.0% | Versus best verified row Best verified: GPT-6 Astra · 96.0% | Gap25 behind | WeightDisplay only | Provider exact |
Math4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| AIME26AIME 2026 | Score89.1% | Versus best verified row Best verified: GLM-5.2 · 99.2% | Gap10.1 behind | WeightWeighted 25% | Provider exact |
| HMMT Feb 2026Harvard-MIT Mathematics Tournament February 2026 | Score71.6% | Versus best verified row Best verified: Qwen3.7 Max · 97.1% | Gap25.5 behind | WeightWeighted 25% | Provider exact |
| IMOAnswerBench | Score59.3% | Versus best verified row Best verified: dots3-note Preview · 90.9% | Gap31.6 behind | WeightDisplay only | Provider exact |
| Apex | Score32.2% | Versus best verified row Best verified: Hy4 preview · 74.2% | Gap42 behind | WeightDisplay only | Provider exact |
Inst. Following2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFBenchInstruction Following Benchmark | Score52.6% | Versus best verified row Best verified: MAI-Thinking-1 · 85% | Gap32.4 behind | WeightWeighted 70% | Provider exact |
| IFEvalInstruction-Following Eval | Score85.6% | Versus best verified row Best verified: Qwen3.5-27B · 95% | Gap9.4 behind | WeightDisplay only | Provider exact |
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not published
- Context window
- 131K
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- 8B total · DENSE
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersLineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
May 5, 2026 · you are here
ZAYA1-8BNot publicly ranked · Price not listed
8b
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track ZAYA1-8B, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
ZAYA1-8B is a open weight model with a 131K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Official exact-value snapshot from Zyphra's May 5, 2026 ZAYA1-8B launch post and matching Hugging Face model card. BenchLM maps GPQA-Diamond onto both the weighted GPQA lane and display GPQA-Diamond lane for category comparability, while LiveCodeBench-v6 and other provider-specific slices remain on display-only keys where they do not match the weighted schema.
ZAYA1-8B sits in the ZAYA1 family with ZAYA1-74B-Preview, ZAYA1-VL-8B. 11 of 446 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Agentic at #82, while its lowest eligible position is Instruction Following at #121. particularly useful for coding agents, browser research, and computer-use workflows.
Radar
Full release historyZAYA1-8B release history
ZAYA1-8B released
Zyphra · Model release
Source confirmed
Radar confirmed these at the source. Use ZAYA1-8B in your work? Explore Radar to follow supported changes and choose your alerts.
Questions
How does ZAYA1-8B perform overall in AI benchmarks?
ZAYA1-8B has 11 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is ZAYA1-8B good for knowledge and understanding?
ZAYA1-8B ranks #120 out of 184 eligible models for knowledge and understanding, with a public category score of 43.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is ZAYA1-8B good for coding and programming?
ZAYA1-8B has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is ZAYA1-8B good for mathematics?
ZAYA1-8B has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is ZAYA1-8B good for agentic tool use and computer tasks?
ZAYA1-8B ranks #82 out of 154 eligible models for agentic tool use and computer tasks, with a public category score of 46.1/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is ZAYA1-8B good for instruction following?
ZAYA1-8B ranks #121 out of 124 eligible models for instruction following, with a public category score of 23.5/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is ZAYA1-8B open source?
ZAYA1-8B is an open-weight model from Zyphra. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to ZAYA1-8B?
ZAYA1-8B belongs to the ZAYA1 family. Related tracked variants include ZAYA1-74B-Preview, ZAYA1-VL-8B. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does ZAYA1-8B have full benchmark coverage on BenchLM?
No. ZAYA1-8B currently has 11 source-displayable rows across 446 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of ZAYA1-8B?
ZAYA1-8B has a reported context window of 131K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.
Compare ZAYA1-8B with every tracked model490 comparisons
Last updated September 18, 2026. Runtime fields remain blank until a sourced snapshot exists.
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