Data as of November 4, 2026 · How the score is built
Released May 5, 2026131K context
ZAYA1-8B
Decision readingZAYA1-8B scores 34.8 out of 100 and ranks #166 of 216. This profile shows 11 source-displayable benchmark rows; its strongest eligible category is Knowledge at #124. Published weights can be self-hosted, but infrastructure cost varies and is not a comparable API token rate.
Released May 5, 2026 — see all recent releases
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.
Capability
34.8/100
field median 50.5#166 of 216 ranked models
Public
#166of 216
Verified —
Price
Self-hosted; infrastructure cost varies
input median $0.75No comparable first-party hosted token rate
Speed
Not measured
field median 92 tok/sTime to first token not measured
Context
131Ktokens
field median 256,000Reported for this model; direct source link not stored
Strongest published evidence
Knowledge ranks #124. Particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Validate before choosing
11 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 11 displayable benchmark rows
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 |
|---|---|---|---|---|---|---|
| AgenticWeight 22%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| CodingWeight 20%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeRank #124 of 179Percentile 31stWeight 12%3 benchmarksVerified | 37.7 | 3 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingRank #149 of 157Percentile 5thWeight 5%2 benchmarksVerified | 23.6 | 2 benchmarks | Verified | |||
| MathRank Not rankedWeight 5%4 benchmarksVerified | 69.4 | 4 benchmarks | Verified |
11 of 797 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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
- MultimodalNot measured
- Knowledge3/3 verified
- MultilingualNot measured
- Inst. Following2/2 verified
- Math4/4 verified
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
ZAYA1-8B category percentile values
- AgenticNot eligible
- CodingNot eligible
- ReasoningNot eligible
- MultimodalNot eligible
- Knowledge31st percentile
- MultilingualNot eligible
- Instruction following5th percentile
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- AgenticNot ranked
- CodingNot ranked
- ReasoningNot ranked
- MultimodalNot ranked
- Knowledge#124/179
- MultilingualNot ranked
- Inst. Following#149/157
- MathNot ranked
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 | Weight3% ref. weight | 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 | Weight6% ref. weight | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score71% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap25 behind | Weight3% ref. weight | Provider exact |
| GPQA-DGPQA Diamond | Score71.0% | Versus best verified row Best verified: GPT-6 Astra · 96.0% | Gap25 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: Flint · 89.2% | Gap36.6 behind | WeightWeighted 70% | Provider exact |
| IFEvalInstruction-Following Eval | Score85.6% | Versus best verified row Best verified: LFM2.5-24B-A2B · 96.8% | Gap11.2 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 |
Bars run 0–100; the dark tick marks the best source-verified value
All 11 rowsLineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
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
- Established
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- ZAYA1-8B needs ~24GB VRAM (1× NVIDIA RTX 4090 (24GB)).
- Rate limits
- Not tracked yet
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.
ZAYA1-8B ranks #166 of 216 on the public leaderboard with a score of 34.76/100. It does not yet have enough sourced coverage for a verified position.
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 797 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Knowledge at #124, while its lowest eligible position is Instruction Following at #149. particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Last updated November 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
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.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Questions
How does ZAYA1-8B perform overall in AI benchmarks?
ZAYA1-8B ranks #166 out of 216 models on the public BenchAlign leaderboard, with a score of 34.76/100. Its evidence status is Estimated, and this profile shows 11 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is ZAYA1-8B good for knowledge and understanding?
ZAYA1-8B ranks #124 out of 179 eligible models for knowledge and understanding, with a public category score of 37.7/100. 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 has source-displayable benchmark coverage for agentic tool use and computer tasks, 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 instruction following?
ZAYA1-8B ranks #149 out of 157 eligible models for instruction following, with a public category score of 23.6/100. 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 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. 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.