Model comparison
Claude Opus 5.5 vs Muse Spark 1.3
Anthropic against Meta, compared on context, price, and verified benchmark results.
Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
Anthropic
Claude Opus 5.5
Frontier
Meta
Muse Spark 1.3
Frontier
| Specification | Claude Opus 5.5 | Muse Spark 1.3 |
|---|---|---|
| Provider | ||
| Provider | Anthropic | Meta |
| Tier | ||
| Tier | Frontier | Frontier |
| Context window | ||
| Context window | 1M | Winner: 1.05M |
| Max output | ||
| Max output | 128K | Winner: 131K |
| Input / 1M tokens | ||
| Input / 1M tokens | $4 | Winner: $1.25 |
| Output / 1M tokens | ||
| Output / 1M tokens | $20 | Winner: $4.25 |
| Weights | ||
| Weights | Closed | Closed |
| Parameters | ||
| Parameters | Not disclosedUnverified | Meta frontier model |
| Reasoning levels | ||
| Reasoning levels | adaptive | minimal, low, medium, high, xhigh, max |
| Modalities | ||
| Modalities | text, image | text, image, video, audio, pdf |
| API model id | ||
| API model id | claude-opus-5-5 | muse-spark-1.3 |
| Released | ||
| Released | September 22, 2026 | September 2, 2026 |
| Artificial Analysis Intelligence Index [max] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [max] (2026-09-26) | Winner: 57.6 | 48.1 |
| Humanity's Last Exam [max] (2026-09-26) | ||
| Humanity's Last Exam [max] (2026-09-26) | 61.4 | Not verifiedUnverified |
| Terminal-Bench 4.0 [max] (2026-09-26) | ||
| Terminal-Bench 4.0 [max] (2026-09-26) | 59.6 | Not verifiedUnverified |
| Terminal-Bench 4.0 [xhigh] (2026-09-22) | ||
| Terminal-Bench 4.0 [xhigh] (2026-09-22) | 66.4 | Not verifiedUnverified |
| DeepSWE 1.1 (2026-09-02) | ||
| DeepSWE 1.1 (2026-09-02) | Not verifiedUnverified | 75.4 |
| Terminal-Bench 2.1 (2026-09-03) | ||
| Terminal-Bench 2.1 (2026-09-03) | Not verifiedUnverified | 88.8 |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- 2026-09-26Artificial Analysis Terminal-Bench 4.0 (independent AA run, part of Intelligence Index v4.3.2)
Agentic terminal work: long multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNOT comparable with Terminal-Bench 2.x or 3.0 — 4.0 uses a new, non-overlapping task set. Within 4.0, scores from different harnesses (tbench.ai agent entries vs Artificial Analysis runs) are not interchangeable.
- 2026-09-26Artificial Analysis Humanity's Last Exam (independent, 2,158 text-only questions)
Frontier-knowledge ceiling: extremely hard multi-domain questions written to be near-impossible without deep expertise.
Comparable with caveatSubset/tool configurations (text-only vs with-tools) differ between vendors and materially change scores; must match configuration to compare.
- 2026-09-26Artificial Analysis
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.
- 2026-09-22Anthropic — Claude Opus 5.5 announcement (vendor; conflicts with AA's independent 59.6 — harness difference preserved)
Agentic terminal work: long multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNOT comparable with Terminal-Bench 2.x or 3.0 — 4.0 uses a new, non-overlapping task set. Within 4.0, scores from different harnesses (tbench.ai agent entries vs Artificial Analysis runs) are not interchangeable.
- 2026-09-03Meta launch table (transcribed by explainx.ai) (Vendor self-report; absent from the official tbench.ai leaderboard)
Agentic terminal work: multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNot comparable with Terminal-Bench 3.0 or 4.0 (different task sets) or v1; harness configuration (container, time limits) also shifts results.
- 2026-09-02Meta launch table (Thinking mode: max — self-reported; not broadly available and NOT on the official Datacurve leaderboard)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable
Pricing tiers
Claude Opus 5.5: $4/$20 per MTok, no long-context surcharge. Cache reads $0.20; 5-minute cache writes $5, 1-hour writes $8. Batch $2/$10; Fast mode $8/$40. Batches API allows 300K output with the output-300k-2026-03-24 beta header. Knowledge cutoff Jun 2026; retirement not before 2027-09-22.
Muse Spark 1.3: $1.25/$4.25 per MTok on Meta's Model API (Standard tier; cached input $0.15); a $0.10/$0.20 'contributor' tier applies when your data is used for training. Meta's pricing page lists no long-context premium and no scheduled price change.
Claude Opus 5.5
Claude Opus 5.5 is Anthropic's default model for agentic coding and knowledge work — Anthropic says it performs near Fable 5.1 on most work at about 40% lower running cost than Opus 5, and it leads the Artificial Analysis Intelligence Index v4.3.2.
Best for
- Complex agentic coding
- Enterprise knowledge work
- Default frontier model
Watch out
Breaking changes from Opus 5: adaptive thinking cannot be disabled (effort runs low to max, default medium) and forced tool use returns an error. Verbose at max effort, so cap output on cost-sensitive routes.
Muse Spark 1.3
Muse Spark 1.3 is Meta's September 2026 frontier refresh — a self-reported DeepSWE 1.1 field leader at $1.25/$4.25, with a 1M-token context aimed at autonomous agent workflows.
Best for
- Long-horizon coding agents
- Frontier quality below frontier pricing
- Meta ecosystem
Watch out
The headline 75.4% DeepSWE score comes from the 'max' thinking mode, which is not broadly available yet and is pending independent verification. The 131,072 output cap is per third-party API docs — Meta's own spec page does not publish it. Closed weights.
When the cheaper one wins
Muse Spark 1.3 is cheaper on output at $4.25 per million tokens against $20 for Claude Opus 5.5 — about 4.7×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 4/5 core specs verified on both sides — Not published for at least one side: parameter count.
- 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
- Verified within the last 90 days — Newest catalog check was 2 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- Claude Opus 5.5: Anthropic — Claude Opus 5.5 (accessed 2026-09-26)
- Claude Opus 5.5: Anthropic docs — Opus 5.5 overview (1M context, 128K output) (accessed 2026-09-26)
- Claude Opus 5.5: Anthropic pricing (claude-opus-5-5 $4/$20, cache reads $0.20) (accessed 2026-09-26)
- Claude Opus 5.5: Artificial Analysis — Intelligence Index v4.3.2 (Opus 5.5 #1) (accessed 2026-09-26)
- Muse Spark 1.3: Meta — Introducing Muse Spark 1.3 (accessed 2026-09-03)
- Muse Spark 1.3: Meta developer — Muse Spark pricing ($1.25/$4.25) (accessed 2026-09-03)
- Muse Spark 1.3: VentureBeat — Muse Spark 1.3 best results need a config developers can't broadly use yet (accessed 2026-09-03)
- Muse Spark 1.3: HaiMaker — muse-spark-1.3 (131,072 max output tokens) (accessed 2026-09-05)
- Muse Spark 1.3: Promptfoo — Meta provider docs (muse-spark-1.3 max_tokens ceiling) (accessed 2026-09-05)
- Muse Spark 1.3: Meta Model API — pricing and rate limits ($1.25/$4.25, cached $0.15) (accessed 2026-09-26)
- Muse Spark 1.3: Meta Model API — models (1,048,576 context; text/image/video/audio/PDF input) (accessed 2026-09-26)
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Diving deeper on one model? Claude Opus 5.5 · Muse Spark 1.3
Common questions
Claude Opus 5.5 vs Muse Spark 1.3
Answered from the verified figures on this page rather than general guidance.
Is Claude Opus 5.5 or Muse Spark 1.3 cheaper for input?
Is Claude Opus 5.5 or Muse Spark 1.3 cheaper for output?
Which has the larger context window, Claude Opus 5.5 or Muse Spark 1.3?
Do Claude Opus 5.5 and Muse Spark 1.3 support the same reasoning levels?
Should I use Claude Opus 5.5 or Muse Spark 1.3?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: Muse Spark 1.3 costs $1.25 per 1M tokens versus $4 for Claude Opus 5.5 — a 3.2x difference at the headline tier.
- Context: Muse Spark 1.3 takes 1.05M against 1M for Claude Opus 5.5 — only decisive if your prompts approach the smaller window.
- Measured capability: Claude Opus 5.5 leads Artificial Analysis Intelligence Index 57.6 to 48.1 (measured 2026-09-26).
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.