Anthropic: Claude Opus 4.8 (batch) vs Meta: Muse Spark 1.3

Meta: Muse Spark 1.3 comes out ahead on the data we track: 3 advantages and none for Anthropic: Claude Opus 4.8 (batch).

Key numbers

SpecAnthropic: Claude Opus 4.8 (batch)Meta: Muse Spark 1.3
ProviderAnthropicMeta
Input price (per 1M tokens)$2.50$1.25
Output price (per 1M tokens)$12.50$4.25
Blended price (3:1 input/output)$5.00$2.00
Cheaper than … of all models we track10%25%
Context window1M tokens (~1,500 pages)1.0M tokens (~1,573 pages)
Larger context than … of all models69%80%
Max output per response128K tokens (~96,000 words)944K tokens (~707,800 words)
Input typestext, image, filetext, image, video, file
Output typestexttext
Free variantNoNo
Listed since2026-05-272026-09-02
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What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)Anthropic: Claude Opus 4.8 (batch)Meta: Muse Spark 1.3Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$438$179Meta: Muse Spark 1.3 saves $259
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$425$193Meta: Muse Spark 1.3 saves $233
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$450$201Meta: Muse Spark 1.3 saves $249
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$275$126Meta: Muse Spark 1.3 saves $150
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$138$66.75Meta: Muse Spark 1.3 saves $70.75

Capabilities side by side

CapabilityAnthropic: Claude Opus 4.8 (batch)Meta: Muse Spark 1.3What it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input✓ Yes✓ Yesread screenshots, charts and scanned pages
Audio input——take speech or audio directly
File / PDF input✓ Yes✓ Yesaccept documents without your own parsing step
Image output——generate images, not just text
Built-in web search✓ Yes✓ Yesanswer from live web results
Seed (reproducible sampling)——repeat a generation for tests and evals
Log-probabilities——read token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

Which should you choose?

Choose Anthropic: Claude Opus 4.8 (batch) if…

No advantage on the data we track — pick it for provider preference or output quality on your own prompts.

Choose Meta: Muse Spark 1.3 if…

  • cost matters at scale — it is 60% cheaper on a typical 3:1 input/output mix ($179 vs $438 a month for 50,000 support chats)
  • you generate long outputs in one go — up to 944K tokens (about 707,800 words) per response
  • you want the newer model — released 2026-09-02, 3 months after the other

Frequently asked questions

Is Anthropic: Claude Opus 4.8 (batch) better than Meta: Muse Spark 1.3?

Meta: Muse Spark 1.3 comes out ahead on the data we track: 3 advantages and none for Anthropic: Claude Opus 4.8 (batch).

Which is cheaper, Anthropic: Claude Opus 4.8 (batch) or Meta: Muse Spark 1.3?

Meta: Muse Spark 1.3 is cheaper: $2.00 vs $5.00 per 1M tokens at a typical 3:1 input/output mix, 60% less. For 50,000 support conversations a month that is $179 against $438.

How much do Anthropic: Claude Opus 4.8 (batch) and Meta: Muse Spark 1.3 cost per million tokens?

Anthropic: Claude Opus 4.8 (batch) costs $2.50 per 1M input tokens and $12.50 per 1M output tokens; Meta: Muse Spark 1.3 costs $1.25 input and $4.25 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, Anthropic: Claude Opus 4.8 (batch) or Meta: Muse Spark 1.3?

Meta: Muse Spark 1.3: 1.0M tokens, about 1,573 pages, against 1M (about 1,500 pages) for Anthropic: Claude Opus 4.8 (batch).

Do Anthropic: Claude Opus 4.8 (batch) and Meta: Muse Spark 1.3 support function calling and JSON output?

Tool calling — Anthropic: Claude Opus 4.8 (batch): yes, Meta: Muse Spark 1.3: yes. JSON-schema structured output — Anthropic: Claude Opus 4.8 (batch): yes, Meta: Muse Spark 1.3: yes.

Can Anthropic: Claude Opus 4.8 (batch) or Meta: Muse Spark 1.3 read images?

Yes, both accept image input.

Is Anthropic: Claude Opus 4.8 (batch) or Meta: Muse Spark 1.3 free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of Anthropic: Claude Opus 4.8 (batch) and Meta: Muse Spark 1.3?

Anthropic: Claude Opus 4.8 (batch) can write up to 128K tokens (about 96,000 words) per response; Meta: Muse Spark 1.3 up to 944K (about 707,800 words).

When were Anthropic: Claude Opus 4.8 (batch) and Meta: Muse Spark 1.3 released?

Anthropic: Claude Opus 4.8 (batch) was listed on 2026-05-27; Meta: Muse Spark 1.3 on 2026-09-02.

About the two models

Compare Anthropic: Claude Opus 4.8 (batch) with other models

Compare Meta: Muse Spark 1.3 with other models

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