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Model comparison

Pokee-Isaac 28B vs ZAYA1-8B

Updated August 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Pokee-Isaac 28B

Pokee AI

—

Evidence status unavailable

90% interval unavailable

ZAYA1-8B

Zyphra

31.6/100

Estimated · Public rank #201

90% interval 21.7–41.5

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.

1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Long documents

    Prompts that approach the documented context limit

    Pokee-Isaac 28B

    Pokee-Isaac 28B has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. ZAYA1-8B does not fit this workload in one request. Pokee-Isaac 28B has no published cached-input rate, so cached tokens use its listed input rate. ZAYA1-8B has no comparable published API token rate.

    Confidence: rate-fallback

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
1
Pokee-Isaac 28B only
6
ZAYA1-8B only
10
Like-for-like categories
0 / 8

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Agentic

Not comparable
Pokee-Isaac 28B
Not measured
ZAYA1-8B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Coding

Not comparable
Pokee-Isaac 28B
Not measured
ZAYA1-8B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
Pokee-Isaac 28B
60.7
ZAYA1-8B
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Pokee-Isaac 28B
Not measured
ZAYA1-8B
73.6
Weighted basis
0 vs 2 rows
Reading
Not comparable

Math

Not comparable
Pokee-Isaac 28B
Not measured
ZAYA1-8B
80.4
Weighted basis
0 vs 2 rows
Reading
Not comparable

Multilingual

Not comparable
Pokee-Isaac 28B
Not measured
ZAYA1-8B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Pokee-Isaac 28B
Not measured
ZAYA1-8B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Pokee-Isaac 28B
Not measured
ZAYA1-8B
64.1
Weighted basis
0 vs 2 rows
Reading
Not comparable

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Pokee-Isaac 28B
$0.00065
Fits in one request
ZAYA1-8B
Self-hosted; infrastructure cost varies
Fits in one request

ZAYA1-8B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Pokee-Isaac 28B
$0.0105
Fits in one request
ZAYA1-8B
Self-hosted; infrastructure cost varies
Fits in one request

ZAYA1-8B has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Pokee-Isaac 28B
$0.043
Fits in one request
Cached input priced at the published list-input rate
ZAYA1-8B
Self-hosted; infrastructure cost varies
Does not fit in one request
Cached-input rate unavailable

ZAYA1-8B does not fit this workload in one request. Pokee-Isaac 28B has no published cached-input rate, so cached tokens use its listed input rate. ZAYA1-8B has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

Pokee-Isaac 28B

10M

Pokee-Isaac 28B model page

ZAYA1-8B

131K

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Pokee-Isaac 28B

Not published

Pokee-Isaac 28B model page

ZAYA1-8B

No comparable hosted API rate

Documented inputs

Pokee-Isaac 28B

Not sourced

ZAYA1-8B

Not sourced

Documented outputs

Pokee-Isaac 28B

Not sourced

ZAYA1-8B

Not sourced

Provider availability

Pokee-Isaac 28B

Not sourced

ZAYA1-8B

Not sourced

Reasoning profile

Pokee-Isaac 28B

Reasoning

ZAYA1-8B

Reasoning

Weight access

Pokee-Isaac 28B

Proprietary

ZAYA1-8B

Open Weight

License

Pokee-Isaac 28B

Proprietary

ZAYA1-8B

Open Weight

Release date

Pokee-Isaac 28B

2026-08-03

ZAYA1-8B

2026-05-05

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Pokee-Isaac 28B has the larger documented window (10M).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence17 rows

Agentic

  • Terminal-Bench 2.1

    Pokee-Isaac 28B65.1%
    Source
    ZAYA1-8B—

    Not directly comparable

  • BFCL v4

    Pokee-Isaac 28B70.9%
    Source
    ZAYA1-8B39.2%
    Source

    Pokee-Isaac 28B leads this result

  • τ³-bench results

    Pokee-Isaac 28B66.2%
    Source
    ZAYA1-8B—

    Not directly comparable

  • MCP-Atlas claim coverage

    Pokee-Isaac 28B74.6%
    Source
    ZAYA1-8B—

    Not directly comparable

  • PinchBench

    Pokee-Isaac 28B95.7%
    Source
    ZAYA1-8B—

    Not directly comparable

Coding

  • Terminal-Bench 2.1

    Pokee-Isaac 28B65.1%
    Source
    ZAYA1-8B—

    Not directly comparable

  • LiveCodeBench v6

    Pokee-Isaac 28B—
    ZAYA1-8B65.8%
    Source

    Not directly comparable

Reasoning

  • MRCRv2

    Pokee-Isaac 28B60.7%
    Source
    ZAYA1-8B—

    Not directly comparable

Knowledge

  • GPQA

    Pokee-Isaac 28B—
    ZAYA1-8B71%
    Source

    Not directly comparable

  • GPQA-D

    Pokee-Isaac 28B—
    ZAYA1-8B71.0%
    Source

    Not directly comparable

  • MMLU-Pro

    Pokee-Isaac 28B—
    ZAYA1-8B74.2%
    Source

    Not directly comparable

Math

  • AIME26

    Pokee-Isaac 28B—
    ZAYA1-8B89.1%
    Source

    Not directly comparable

  • HMMT Feb 2026

    Pokee-Isaac 28B—
    ZAYA1-8B71.6%
    Source

    Not directly comparable

  • IMOAnswerBench

    Pokee-Isaac 28B—
    ZAYA1-8B59.3%
    Source

    Not directly comparable

  • Apex

    Pokee-Isaac 28B—
    ZAYA1-8B32.2%
    Source

    Not directly comparable

Instruction following

  • IFEval

    Pokee-Isaac 28B—
    ZAYA1-8B85.6%
    Source

    Not directly comparable

  • IFBench

    Pokee-Isaac 28B—
    ZAYA1-8B52.6%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Pokee-Isaac 28B or ZAYA1-8B?

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Pokee-Isaac 28B or ZAYA1-8B?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, Pokee-Isaac 28B or ZAYA1-8B?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, Pokee-Isaac 28B or ZAYA1-8B?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Pokee-Isaac 28B or ZAYA1-8B?

Pokee-Isaac 28B has the larger documented context window: 10M, compared with 131K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 4, 2026

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