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Model A
Claude Mythos 5.1

Anthropic

Evidence status unavailable

90% interval unavailable

Claude Mythos 5.1 vs Muse Spark

Updated September 1, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Meta logo
Model B
Muse Spark

Meta

70.59/100

Supported · Public rank #20

90% interval 60.6–80.6

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 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

    Claude Mythos 5.1

    Claude Mythos 5.1 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

    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 5.1 only
1
Muse Spark only
24
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 5.1
Not measured
Muse Spark
59.0
Weighted basis
0 vs 1 rows
Reading
Not comparable

Coding

Not comparable
Claude Mythos 5.1
Not measured
Muse Spark
67.8
Weighted basis
0 vs 2 rows
Reading
Not comparable

Reasoning

Not comparable
Claude Mythos 5.1
Not measured
Muse Spark
42.5
Weighted basis
0 vs 1 rows
Reading
Not comparable

Knowledge

Not comparable
Claude Mythos 5.1
Not measured
Muse Spark
50.4
Weighted basis
0 vs 1 rows
Reading
Not comparable

Math

Not comparable
Claude Mythos 5.1
Not measured
Muse Spark
32.9
Weighted basis
0 vs 2 rows
Reading
Not comparable

Multilingual

Not comparable
Claude Mythos 5.1
Not measured
Muse Spark
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Claude Mythos 5.1
Not measured
Muse Spark
82.5
Weighted basis
0 vs 2 rows
Reading
Not comparable

Instruction following

Not comparable
Claude Mythos 5.1
Not measured
Muse Spark
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 5.1
API rate not published
Fits in one request
Muse Spark
API rate not published
Fits in one request

Claude Mythos 5.1 has no comparable published API token rate. Muse Spark has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Claude Mythos 5.1
API rate not published
Fits in one request
Muse Spark
API rate not published
Fits in one request

Claude Mythos 5.1 has no comparable published API token rate. Muse Spark has no comparable published API token rate.

Cache-heavy agent loop

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

Claude Mythos 5.1
API rate not published
Fits in one request
Cached-input rate unavailable
Muse Spark
API rate not published
Fits in one request
Cached-input rate unavailable

Claude Mythos 5.1 has no comparable published API token rate. Muse Spark 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.

API model ID

Claude Mythos 5.1

Not sourced

Muse Spark

Not sourced

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

No comparable hosted API rate

Anthropic Fable 5.1 and Mythos 5.1 launch

Muse Spark

No comparable hosted API rate

Documented inputs

Claude Mythos 5.1

Not sourced

Muse Spark

Not sourced

Documented outputs

Claude Mythos 5.1

Not sourced

Muse Spark

Not sourced

Reasoning profile

Claude Mythos 5.1

Reasoning

Muse Spark

Reasoning

Weight access

Claude Mythos 5.1

Proprietary

Muse Spark

Proprietary

License

Claude Mythos 5.1

Proprietary

Muse Spark

Proprietary

Release date

Claude Mythos 5.1

2026-09-01

Muse Spark

2026-04-08

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 5.1 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 evidence25 rows

Agentic

  • Terminal-Bench 4.0

    Claude Mythos 5.160.90%
    Source
    Muse Spark

    Not directly comparable

  • Terminal-Bench 2.0

    Claude Mythos 5.1
    Muse Spark59%
    Source

    Not directly comparable

  • τ²-bench results

    Claude Mythos 5.1
    Muse Spark91.5%
    Source

    Not directly comparable

  • DeepSearchQA

    Claude Mythos 5.1
    Muse Spark74.8%
    Source

    Not directly comparable

  • CyberGym

    Claude Mythos 5.1
    Muse Spark43.5%
    Source

    Not directly comparable

  • Claw-Eval

    Claude Mythos 5.1
    Muse Spark63.8%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Claude Mythos 5.1
    Muse Spark77.4%
    Source

    Not directly comparable

  • SWE-bench Pro

    Claude Mythos 5.1
    Muse Spark52.4%
    Source

    Not directly comparable

  • LiveCodeBench Pro

    Claude Mythos 5.1
    Muse Spark80.0%
    Source

    Not directly comparable

  • Vibe Code Bench

    Claude Mythos 5.1
    Muse Spark19.67%
    Source

    Not directly comparable

Reasoning

  • ARC-AGI-2

    Claude Mythos 5.1
    Muse Spark42.5%
    Source

    Not directly comparable

Knowledge

  • GPQA-D

    Claude Mythos 5.1
    Muse Spark89.5%
    Source

    Not directly comparable

  • HLE

    Claude Mythos 5.1
    Muse Spark50.4%
    Source

    Not directly comparable

  • HLE w/o tools

    Claude Mythos 5.1
    Muse Spark42.8%
    Source

    Not directly comparable

  • HealthBench Hard

    Claude Mythos 5.1
    Muse Spark42.8%
    Source

    Not directly comparable

  • MedXpertQA (Text)

    Claude Mythos 5.1
    Muse Spark52.6%
    Source

    Not directly comparable

Math

  • FrontierMath v2 (Tiers 1-3)

    Claude Mythos 5.1
    Muse Spark39.000%
    Source

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Claude Mythos 5.1
    Muse Spark14.600%
    Source

    Not directly comparable

Multimodal

  • CharXiv

    Claude Mythos 5.1
    Muse Spark86.4%
    Source

    Not directly comparable

  • MMMU-Pro

    Claude Mythos 5.1
    Muse Spark80.4%
    Source

    Not directly comparable

  • ERQA

    Claude Mythos 5.1
    Muse Spark64.7%
    Source

    Not directly comparable

  • SimpleVQA

    Claude Mythos 5.1
    Muse Spark71.3%
    Source

    Not directly comparable

  • ScreenSpot Pro

    Claude Mythos 5.1
    Muse Spark84.1%
    Source

    Not directly comparable

  • ZeroBench

    Claude Mythos 5.1
    Muse Spark33.0%
    Source

    Not directly comparable

  • MedXpertQA (MM)

    Claude Mythos 5.1
    Muse Spark78.4%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Claude Mythos 5.1 or Muse Spark?

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 5.1 or Muse Spark?

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 5.1 or Muse Spark?

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 5.1 or Muse Spark?

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 5.1 or Muse Spark?

Claude Mythos 5.1 has the larger documented context window: 1M, compared with 262K.

Related comparisons

Last updated September 1, 2026

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