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BenchLM
Model A
Claude Mythos Preview

Anthropic

—

Evidence status unavailable

90% interval unavailable

Claude Mythos Preview vs DeepSeek V4 Flash 0731

Updated August 13, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Model B
DeepSeek V4 Flash 0731

DeepSeek

—

Evidence status unavailable

90% interval unavailable

Decision reading

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.

  • Chat turn cost

    1K fresh input + 500 output tokens

    DeepSeek V4 Flash 0731

    DeepSeek V4 Flash 0731 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

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

    DeepSeek V4 Flash 0731

    DeepSeek V4 Flash 0731 has the lower estimated token cost for this stated workload. Claude Mythos Preview has no published cached-input rate, so cached tokens use its listed input rate.

    Confidence: rate-fallback

Show secondary and unsupported calls

  • Repository review cost

    50K fresh input + 3K output tokens

    DeepSeek V4 Flash 0731

    DeepSeek V4 Flash 0731 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • 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

  • Long documents

    Prompts that approach the documented context limit

    Not enough matched evidence

    A complete context comparison is not sourced.

    Confidence: limited

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
Claude Mythos Preview only
1
DeepSeek V4 Flash 0731 only
32
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
Claude Mythos Preview
Not measured
DeepSeek V4 Flash 0731
63.8
Weighted basis
0 vs 2 rows
Reading
Not comparable

Coding

Not comparable
Claude Mythos Preview
Not measured
DeepSeek V4 Flash 0731
68.8
Weighted basis
0 vs 2 rows
Reading
Not comparable

Reasoning

Not comparable
Claude Mythos Preview
Not measured
DeepSeek V4 Flash 0731
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Claude Mythos Preview
Not measured
DeepSeek V4 Flash 0731
55.3
Weighted basis
0 vs 4 rows
Reading
Not comparable

Math

Not comparable
Claude Mythos Preview
Not measured
DeepSeek V4 Flash 0731
94.8
Weighted basis
0 vs 1 rows
Reading
Not comparable

Multilingual

Not comparable
Claude Mythos Preview
Not measured
DeepSeek V4 Flash 0731
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Claude Mythos Preview
Not measured
DeepSeek V4 Flash 0731
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Claude Mythos Preview
Not measured
DeepSeek V4 Flash 0731
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.

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

Claude Mythos Preview
$0.0875
Fit state unavailable
DeepSeek V4 Flash 0731
$0.00028
Fits in one request

DeepSeek V4 Flash 0731 has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Claude Mythos Preview
$1.63
Fit state unavailable
DeepSeek V4 Flash 0731
$0.00784
Fits in one request

DeepSeek V4 Flash 0731 has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

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

Claude Mythos Preview
$6.75
Fit state unavailable
Cached input priced at the published list-input rate
DeepSeek V4 Flash 0731
$0.00616
Fits in one request

DeepSeek V4 Flash 0731 has the lower modeled cost

Claude Mythos Preview has no published cached-input rate, so cached tokens use its listed input 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.

Claude Mythos Preview

Not sourced

DeepSeek V4 Flash 0731

1M

DeepSeek models and pricing

Cached-input rate

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

Claude Mythos Preview

Not published

Anthropic Project Glasswing

DeepSeek V4 Flash 0731

$0.0028 per 1M cached input tokens

Reasoning profile

Claude Mythos Preview

Reasoning

DeepSeek V4 Flash 0731

Reasoning

Weight access

Claude Mythos Preview

Proprietary

DeepSeek V4 Flash 0731

Proprietary

License

Claude Mythos Preview

Proprietary

DeepSeek V4 Flash 0731

Proprietary

Release date

Claude Mythos Preview

2026-04-07

DeepSeek V4 Flash 0731

2026-07-31

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
Repository review: $1.63 vs $0.00784. Cache-heavy agent loop: $6.75 vs $0.00616.
Context tradeoff
A complete documented context comparison is not available.

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 evidence34 rows

Agentic

  • CyberGym

    Claude Mythos Preview83.1%
    Source
    DeepSeek V4 Flash 073176.7%
    Source

    Claude Mythos Preview leads this result

  • ExploitGym

    Claude Mythos Preview17.5%
    Source
    DeepSeek V4 Flash 0731—

    Not directly comparable

  • Terminal-Bench 2.0

    Claude Mythos Preview—
    DeepSeek V4 Flash 073156.9%
    Source

    Not directly comparable

  • BrowseComp

    Claude Mythos Preview—
    DeepSeek V4 Flash 073173.2%
    Source

    Not directly comparable

  • HLE w/ tools

    Claude Mythos Preview—
    DeepSeek V4 Flash 073145.1%
    Source

    Not directly comparable

  • MCP Atlas

    Claude Mythos Preview—
    DeepSeek V4 Flash 073169%
    Source

    Not directly comparable

  • Toolathlon

    Claude Mythos Preview—
    DeepSeek V4 Flash 073147.8%
    Source

    Not directly comparable

  • Terminal-Bench 2.1

    Claude Mythos Preview—
    DeepSeek V4 Flash 073182.7%
    Source

    Not directly comparable

  • Toolathlon-Verified

    Claude Mythos Preview—
    DeepSeek V4 Flash 073170.3%
    Source

    Not directly comparable

  • Agents' Last Exam

    Claude Mythos Preview—
    DeepSeek V4 Flash 073125.2%
    Source

    Not directly comparable

  • AutomationBench

    Claude Mythos Preview—
    DeepSeek V4 Flash 073125.1%
    Source

    Not directly comparable

Coding

  • LiveCodeBench Pass@1-COT

    Claude Mythos Preview—
    DeepSeek V4 Flash 073191.6%
    Source

    Not directly comparable

  • Codeforces

    Claude Mythos Preview—
    DeepSeek V4 Flash 07313052.0
    Source

    Not directly comparable

  • SWE-bench Verified

    Claude Mythos Preview—
    DeepSeek V4 Flash 073179%
    Source

    Not directly comparable

  • SWE-bench Pro

    Claude Mythos Preview—
    DeepSeek V4 Flash 073152.6%
    Source

    Not directly comparable

  • SWE Multilingual

    Claude Mythos Preview—
    DeepSeek V4 Flash 073173.3%
    Source

    Not directly comparable

  • Terminal-Bench 2.0

    Claude Mythos Preview—
    DeepSeek V4 Flash 073156.9%
    Source

    Not directly comparable

  • Terminal-Bench 2.1

    Claude Mythos Preview—
    DeepSeek V4 Flash 073182.7%
    Source

    Not directly comparable

  • NL2Repo

    Claude Mythos Preview—
    DeepSeek V4 Flash 073154.2%
    Source

    Not directly comparable

  • deepSwe

    Claude Mythos Preview—
    DeepSeek V4 Flash 073154.4%
    Source

    Not directly comparable

  • DSBench-FullStack

    Claude Mythos Preview—
    DeepSeek V4 Flash 073168.7%
    Source

    Not directly comparable

  • DSBench-Hard

    Claude Mythos Preview—
    DeepSeek V4 Flash 073159.6%
    Source

    Not directly comparable

Reasoning

  • MRCR 1M

    Claude Mythos Preview—
    DeepSeek V4 Flash 073178.7%
    Source

    Not directly comparable

  • CorpusQA 1M

    Claude Mythos Preview—
    DeepSeek V4 Flash 073160.5%
    Source

    Not directly comparable

Knowledge

  • MMLU-Pro

    Claude Mythos Preview—
    DeepSeek V4 Flash 073186.2%
    Source

    Not directly comparable

  • SimpleQA

    Claude Mythos Preview—
    DeepSeek V4 Flash 073134.1%
    Source

    Not directly comparable

  • Chinese-SimpleQA

    Claude Mythos Preview—
    DeepSeek V4 Flash 073178.9%
    Source

    Not directly comparable

  • GPQA

    Claude Mythos Preview—
    DeepSeek V4 Flash 073188.1%
    Source

    Not directly comparable

  • GPQA-D

    Claude Mythos Preview—
    DeepSeek V4 Flash 073188.1%
    Source

    Not directly comparable

  • HLE

    Claude Mythos Preview—
    DeepSeek V4 Flash 073134.8%
    Source

    Not directly comparable

Math

  • HMMT Feb 2026

    Claude Mythos Preview—
    DeepSeek V4 Flash 073194.8%
    Source

    Not directly comparable

  • IMOAnswerBench

    Claude Mythos Preview—
    DeepSeek V4 Flash 073188.4%
    Source

    Not directly comparable

  • Apex

    Claude Mythos Preview—
    DeepSeek V4 Flash 073133.0%
    Source

    Not directly comparable

  • Apex Shortlist

    Claude Mythos Preview—
    DeepSeek V4 Flash 073185.7%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Claude Mythos Preview or DeepSeek V4 Flash 0731?

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, Claude Mythos Preview or DeepSeek V4 Flash 0731?

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, Claude Mythos Preview or DeepSeek V4 Flash 0731?

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, Claude Mythos Preview or DeepSeek V4 Flash 0731?

For the stated presets, chat costs $0.0875 on Claude Mythos Preview and $0.00028 on DeepSeek V4 Flash 0731; repository review costs $1.63 and $0.00784; the cache-heavy agent loop costs $6.75 and $0.00616. Claude Mythos Preview has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Claude Mythos Preview or DeepSeek V4 Flash 0731?

A complete documented context-window comparison is not available.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 13, 2026

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