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Model comparison

DeepSeek V4 Flash (High) vs ZAYA1-74B-Preview

Updated August 7, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

DeepSeek V4 Flash (High)

DeepSeek

—

Evidence status unavailable

90% interval unavailable

ZAYA1-74B-Preview

Zyphra

—

Evidence status unavailable

90% interval unavailable

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

4 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

    DeepSeek V4 Flash (High)

    DeepSeek V4 Flash (High) 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

    The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.

    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

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

    Confidence: listed-rates

  • 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
4
DeepSeek V4 Flash (High) only
19
ZAYA1-74B-Preview only
3
Like-for-like categories
0 / 8

2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.

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.

Coding

Directional only
DeepSeek V4 Flash (High)
68.5
ZAYA1-74B-Preview
53.2
Weighted basis
2 vs 1 rows
Reading
Directional only

Knowledge

Directional only
DeepSeek V4 Flash (High)
52.1
ZAYA1-74B-Preview
66.1
Weighted basis
4 vs 2 rows
Reading
Directional only

Agentic

Not comparable
DeepSeek V4 Flash (High)
55.3
ZAYA1-74B-Preview
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
DeepSeek V4 Flash (High)
Not measured
ZAYA1-74B-Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Math

Not comparable
DeepSeek V4 Flash (High)
91.9
ZAYA1-74B-Preview
76.4
Weighted basis
1 vs 1 rows
Reading
Not comparable

Multilingual

Not comparable
DeepSeek V4 Flash (High)
Not measured
ZAYA1-74B-Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
DeepSeek V4 Flash (High)
Not measured
ZAYA1-74B-Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
DeepSeek V4 Flash (High)
Not measured
ZAYA1-74B-Preview
Not measured
Weighted basis
0 vs 0 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.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

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

DeepSeek V4 Flash (High)
$0.00028
Fits in one request
ZAYA1-74B-Preview
Self-hosted; infrastructure cost varies
Fits in one request

ZAYA1-74B-Preview has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

DeepSeek V4 Flash (High)
$0.00784
Fits in one request
ZAYA1-74B-Preview
Self-hosted; infrastructure cost varies
Fits in one request

ZAYA1-74B-Preview has no comparable published API token rate.

Cache-heavy agent loop

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

DeepSeek V4 Flash (High)
$0.00616
Fits in one request
ZAYA1-74B-Preview
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

ZAYA1-74B-Preview 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.

DeepSeek V4 Flash (High)

1M

DeepSeek models and pricing

ZAYA1-74B-Preview

256K

Cached-input rate

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

DeepSeek V4 Flash (High)

$0.0028 per 1M cached input tokens

ZAYA1-74B-Preview

No comparable hosted API rate

Reasoning profile

DeepSeek V4 Flash (High)

Reasoning

ZAYA1-74B-Preview

Reasoning

Weight access

DeepSeek V4 Flash (High)

Proprietary

ZAYA1-74B-Preview

Open Weight

License

DeepSeek V4 Flash (High)

Proprietary

ZAYA1-74B-Preview

Open Weight

Release date

DeepSeek V4 Flash (High)

2026-07-31

ZAYA1-74B-Preview

2026-05-07

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
DeepSeek V4 Flash (High) has the larger documented window (1M).

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 evidence26 rows

Agentic

  • Terminal-Bench 2.0

    DeepSeek V4 Flash (High)56.6%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • BrowseComp

    DeepSeek V4 Flash (High)53.5%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • HLE w/ tools

    DeepSeek V4 Flash (High)40.3%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • MCP Atlas

    DeepSeek V4 Flash (High)67.4%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • Toolathlon

    DeepSeek V4 Flash (High)43.5%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • τ²-bench Airline

    DeepSeek V4 Flash (High)—
    ZAYA1-74B-Preview56.1%
    Source

    Not directly comparable

Coding

  • LiveCodeBench Pass@1-COT

    DeepSeek V4 Flash (High)88.4%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • Codeforces

    DeepSeek V4 Flash (High)2816.0
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • SWE-bench Verified

    DeepSeek V4 Flash (High)78.6%
    Source
    ZAYA1-74B-Preview53.2%
    Source

    DeepSeek V4 Flash (High) leads this result

  • SWE-bench Pro

    DeepSeek V4 Flash (High)52.3%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • SWE Multilingual

    DeepSeek V4 Flash (High)70.2%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • Terminal-Bench 2.0

    DeepSeek V4 Flash (High)56.6%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • LiveCodeBench v6

    DeepSeek V4 Flash (High)—
    ZAYA1-74B-Preview65.7%
    Source

    Not directly comparable

Reasoning

  • MRCR 1M

    DeepSeek V4 Flash (High)76.9%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • CorpusQA 1M

    DeepSeek V4 Flash (High)59.3%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

Knowledge

  • MMLU-Pro

    DeepSeek V4 Flash (High)86.4%
    Source
    ZAYA1-74B-Preview68.1%
    Source

    DeepSeek V4 Flash (High) leads this result

  • SimpleQA

    DeepSeek V4 Flash (High)28.9%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • Chinese-SimpleQA

    DeepSeek V4 Flash (High)73.2%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • GPQA

    DeepSeek V4 Flash (High)87.4%
    Source
    ZAYA1-74B-Preview57.3%
    Source

    DeepSeek V4 Flash (High) leads this result

  • GPQA-D

    DeepSeek V4 Flash (High)87.4%
    Source
    ZAYA1-74B-Preview57.3%
    Source

    DeepSeek V4 Flash (High) leads this result

  • HLE

    DeepSeek V4 Flash (High)29.4%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

Math

  • HMMT Feb 2026

    DeepSeek V4 Flash (High)91.9%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • IMOAnswerBench

    DeepSeek V4 Flash (High)85.1%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • Apex

    DeepSeek V4 Flash (High)19.1%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • Apex Shortlist

    DeepSeek V4 Flash (High)72.1%
    Source
    ZAYA1-74B-Preview—

    Not directly comparable

  • AIME26

    DeepSeek V4 Flash (High)—
    ZAYA1-74B-Preview76.4%
    Source

    Not directly comparable

Frequently asked questions

Which is better, DeepSeek V4 Flash (High) or ZAYA1-74B-Preview?

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, DeepSeek V4 Flash (High) or ZAYA1-74B-Preview?

The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, DeepSeek V4 Flash (High) or ZAYA1-74B-Preview?

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, DeepSeek V4 Flash (High) or ZAYA1-74B-Preview?

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, DeepSeek V4 Flash (High) or ZAYA1-74B-Preview?

DeepSeek V4 Flash (High) has the larger documented context window: 1M, compared with 256K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 7, 2026

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