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Model Comparison

Claude Sonnet 5 vs Muse Spark 1.2Which Is Better in 2026?

Claude Sonnet 5 vs Muse Spark 1.2: which should you choose in 2026?

Claude Sonnet 5 (by Anthropic) and Muse Spark 1.2 (by Meta) are compared below. Here is how they stack up on benchmarks, price, and capabilities, and which one to pick in 2026.

Claude Sonnet 5 outperforms in 0 benchmarks, while Muse Spark 1.2 is better at 1 benchmark (LiveBench).

Muse Spark 1.2 leads every shared, protocol-compatible benchmark shown here.

Muse Spark 1.2 is about 2.0× cheaper on a blended 3:1 input/output basis ($2.00 vs $4.00 per 1M tokens).

Choose Claude Sonnet 5 if…

  • your own prompt tests favor its output; shared comparable evidence does not identify a unique advantage

Choose Muse Spark 1.2 if…

  • you want the model leading more of the 1 shared benchmark
  • lower blended API cost matters for your workload

The benchmark count includes only results measured with a matching benchmark version and protocol. Arena scores are shown separately. Missing, preliminary, and incompatible data is not treated as a controlled win. Published point-score comparisons are labeled separately when protocol details are incomplete. For text-output models, the verdict also compares token pricing and context windows.

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Performance benchmarks

Every value links to its source. A dash means that no reviewed result is available for that exact model and protocol.

Claude Sonnet 5 and Muse Spark 1.2 benchmark results
BenchmarkClaude Sonnet 5Muse Spark 1.2
AutomationBench-AA

A 657-task benchmark of multi-step work across simulated SaaS applications in six business domains. The Artificial Analysis protocol reports a guardrail-aware score and is distinct from both the public Zapier split and the unrelated dynamic AutoBench framework.

Guardrail-aware score

BrowseComp

A benchmark of difficult, verifiable information-seeking questions designed to measure an agent's ability to locate hard-to-find facts through web browsing.

Accuracy

OSWorld-Verified

A verified computer-use benchmark in which multimodal agents operate desktop applications and are graded from the resulting environment state.

Mean task reward

DeepSWE 1.1

A long-horizon software-engineering benchmark with 113 original tasks graded by hand-written tests.

Pass@1

Protocols differ or are incompletely disclosed; not counted as a controlled win

54.0%±4.0
DataCurve
55.0%±2.0
DataCurve
SWE-Bench Verified

A human-validated subset of real GitHub issues used to measure whether a coding agent can produce repository patches that resolve the associated tests.

Resolved

Terminal-Bench 2.1

Version 2.1 of the benchmark for completing realistic tasks in terminal environments. Harness, resource limits, and attempt count are part of the protocol.

Mean task success

74.6%±1.6
Terminal-Bench
GPQA Diamond

The highest-quality subset of Graduate-Level Google-Proof Q&A, designed to test expert-level scientific reasoning in biology, physics, and chemistry.

Accuracy

Protocols differ or are incompletely disclosed; not counted as a controlled win

Humanity's Last Exam

A 2,500-question expert-level benchmark spanning dozens of academic fields. Tool-assisted and no-tools results are separate protocols and must not be merged.

Accuracy

Protocols differ or are incompletely disclosed; not counted as a controlled win

LiveBench

A contamination-resistant benchmark refreshed on a fixed release cadence. Scores from different LiveBench releases must never be compared as the same protocol.

Mean of category averages

Pricing, capabilities, and model facts

Claude Sonnet 5 and Muse Spark 1.2 model facts
FeatureClaude Sonnet 5Muse Spark 1.2
Context & model facts
DeveloperAnthropicMeta
API providerAnthropicMeta
Input context1,000,000 tokens1,048,576 tokens
Maximum output128,000 tokens
Released
Added to WritingmateJun 30, 2026Aug 5, 2026
License
Knowledge cutoff
Capabilities
InputsText, Image, FileText, Image, Video, File, Audio
OutputsTextText
Tool useYesYes
ReasoningYesYes
VisionYesYes
Image GenerationNoNo
Video GenerationNoNo
API pricing
Input (per 1M tokens)$2.00$1.25
Output (per 1M tokens)$10.00$4.25
Blended 3:1 input/output$4.00$2.00
API performance
p95 latencyNot measuredNot measured
Output throughputNot measuredNot measured
Writingmate shows API performance only when both models have enough observations from the same measurement window, prompt profile, and provider. Third-party latency values are not copied into this table.

Data sources

  • Writingmate model catalog (pricing, limits, and availability)

Catalog data last updated Aug 5, 2026.

Why Pay for Multiple Subscriptions?

Comparing Claude Sonnet 5 from Anthropic with Muse Spark 1.2 from Meta? Instead of managing separate API keys and subscriptions, get both with Writingmate.

Subscription-plan access for Claude Sonnet 5 and Muse Spark 1.2
PlanPriceClaude Sonnet 5Muse Spark 1.2AI ImagesAI Video
Writingmate Pro
Most popular
$20/moIncludedIncludedNano Banana Pro, FLUX.2, DALL-E & moreSora 2, VEO 3.1
Writingmate Ultimate
Power users
$60/moIncludedIncludedNano Banana Pro, FLUX.2, DALL-E & moreSora 2, VEO 3.1

Claude Sonnet 5 vs Muse Spark 1.2 FAQ

Which is better, Claude Sonnet 5 or Muse Spark 1.2?

Claude Sonnet 5 outperforms in 0 benchmarks, while Muse Spark 1.2 is better at 1 benchmark (LiveBench). Muse Spark 1.2 leads every shared, protocol-compatible benchmark shown here. Muse Spark 1.2 is about 2.0× cheaper on a blended 3:1 input/output basis ($2.00 vs $4.00 per 1M tokens).

Which model is cheaper to use through an API?

Muse Spark 1.2 is about 2.0× cheaper on a blended 3:1 input/output basis ($2.00 vs $4.00 per 1M tokens).

Which model supports more context?

The published context windows are close enough that this page does not treat the difference as a material advantage.

Can I switch between Claude Sonnet 5 and Muse Spark 1.2?

Yes. Use the model selector on this page to open any current Writingmate model comparison. You can also run the same prompt with both models in Writingmate.