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Model A
Claude Mythos 5

Anthropic

Evidence status unavailable

90% interval unavailable

Claude Mythos 5 vs Cosmos3-Edge

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

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Model B
Cosmos3-Edge

NVIDIA

Evidence status unavailable

90% interval unavailable

Decision reading

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.

0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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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

    Claude Mythos 5

    Claude Mythos 5 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

    Claude Mythos 5 and Cosmos3-Edge are not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    Claude Mythos 5 and Cosmos3-Edge are not ranked on the public lane for agentic, so no winner is named for agentic.

    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
0
Claude Mythos 5 only
15
Cosmos3-Edge only
0
Like-for-like categories
0 / 8

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Not comparable
Claude Mythos 5
Not ranked
Cosmos3-Edge
Not ranked
Basis
BenchAlign lane · 4 vs 0 public rows
Reading
Not comparable

Coding

Not comparable
Claude Mythos 5
Not ranked
Cosmos3-Edge
Not ranked
Basis
BenchAlign lane · 3 vs 0 public rows
Reading
Not comparable

Reasoning

Not comparable
Claude Mythos 5
Not ranked
Cosmos3-Edge
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Claude Mythos 5
Not ranked
Cosmos3-Edge
Not ranked
Basis
BenchAlign lane · 3 vs 0 public rows
Reading
Not comparable

Math

Not comparable
Claude Mythos 5
Not ranked
Cosmos3-Edge
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Claude Mythos 5
Not ranked
Cosmos3-Edge
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Claude Mythos 5
84.9
Unranked · 3 rankable rows
Cosmos3-Edge
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Claude Mythos 5
Not ranked
Cosmos3-Edge
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

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 5
$0.035
Fits in one request
Cosmos3-Edge
Self-hosted; infrastructure cost varies
Fits in one request

Cosmos3-Edge has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Claude Mythos 5
$0.65
Fits in one request
Cosmos3-Edge
Self-hosted; infrastructure cost varies
Fits in one request

Cosmos3-Edge has no comparable published API token rate.

Cache-heavy agent loop

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

Claude Mythos 5
$0.9
Fits in one request
Cosmos3-Edge
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Cosmos3-Edge 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.

Claude Mythos 5

Cosmos3-Edge

256K

Cached-input rate

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

Claude Mythos 5

$1 per 1M cached input tokens

Claude API pricing

Cosmos3-Edge

No comparable hosted API rate

Reasoning profile

Claude Mythos 5

Reasoning

Cosmos3-Edge

Reasoning

Weight access

Claude Mythos 5

Proprietary

Cosmos3-Edge

Open Weight

License

Claude Mythos 5

Proprietary

Cosmos3-Edge

Open Weight

Release date

Claude Mythos 5

2026-06-09

Cosmos3-Edge

2026-07-20

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
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Claude Mythos 5 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 evidence15 rows

Agentic

  • Terminal-Bench 2.0

    Claude Mythos 588%
    Source
    Cosmos3-Edge

    Not directly comparable

  • OSWorld-Verified

    Claude Mythos 585%
    Source
    Cosmos3-Edge

    Not directly comparable

  • BrowseComp

    Claude Mythos 588%
    Source
    Cosmos3-Edge

    Not directly comparable

  • CyberGym

    Claude Mythos 583.8%
    Source
    Cosmos3-Edge

    Not directly comparable

Coding

  • SWE-bench Verified

    Claude Mythos 595.5%
    Source
    Cosmos3-Edge

    Not directly comparable

  • SWE-bench Pro

    Claude Mythos 580.3%
    Source
    Cosmos3-Edge

    Not directly comparable

  • Terminal-Bench 2.0

    Claude Mythos 588.0%
    Source
    Cosmos3-Edge

    Not directly comparable

Knowledge

  • GPQA

    Claude Mythos 594.1%
    Source
    Cosmos3-Edge

    Not directly comparable

  • HLE

    Claude Mythos 564.5%
    Source
    Cosmos3-Edge

    Not directly comparable

  • HLE w/o tools

    Claude Mythos 559%
    Source
    Cosmos3-Edge

    Not directly comparable

Math

  • USAMO 2026

    Claude Mythos 597.6%
    Source
    Cosmos3-Edge

    Not directly comparable

Multilingual

  • SWE Multilingual

    Claude Mythos 592.2%
    Source
    Cosmos3-Edge

    Not directly comparable

Multimodal

  • SWE-bench Multimodal

    Claude Mythos 554.9%
    Source
    Cosmos3-Edge

    Not directly comparable

  • CharXiv

    Claude Mythos 593.5%
    Source
    Cosmos3-Edge

    Not directly comparable

  • CharXiv w/o tools

    Claude Mythos 588.9%
    Source
    Cosmos3-Edge

    Not directly comparable

Frequently asked questions

Which is better, Claude Mythos 5 or Cosmos3-Edge?

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Claude Mythos 5 or Cosmos3-Edge?

Claude Mythos 5 and Cosmos3-Edge are not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Claude Mythos 5 or Cosmos3-Edge?

Claude Mythos 5 and Cosmos3-Edge are not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Claude Mythos 5 or Cosmos3-Edge?

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, Claude Mythos 5 or Cosmos3-Edge?

Claude Mythos 5 has the larger documented context window: 1M, compared with 256K.

Related comparisons

Last updated September 4, 2026

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