Choose Anthropic: Claude Opus 4.7 (batch) if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Meta: Muse Spark 1.3 comes out ahead on the data we track: 3 advantages and none for Anthropic: Claude Opus 4.7 (batch).
| Spec | Anthropic: Claude Opus 4.7 (batch) | Meta: Muse Spark 1.3 |
|---|---|---|
| Provider | Anthropic | Meta |
| 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 track | 10% | 25% |
| Context window | 1M tokens (~1,500 pages) | 1.0M tokens (~1,573 pages) |
| Larger context than … of all models | 69% | 80% |
| Max output per response | 128K tokens (~96,000 words) | 944K tokens (~707,800 words) |
| Input types | text, image, file | text, image, video, file |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2026-04-16 | 2026-09-02 |
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 4.7 (batch) | Meta: Muse Spark 1.3 | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $438 | $179 | Meta: 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 | $193 | Meta: 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 | $201 | Meta: 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 | $126 | Meta: 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 | $66.75 | Meta: Muse Spark 1.3 saves $70.75 |
| Capability | Anthropic: Claude Opus 4.7 (batch) | Meta: Muse Spark 1.3 | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | ✓ Yes | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | ✓ Yes | ✓ Yes | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | ✓ Yes | ✓ Yes | answer 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.
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Meta: Muse Spark 1.3 comes out ahead on the data we track: 3 advantages and none for Anthropic: Claude Opus 4.7 (batch).
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.
Anthropic: Claude Opus 4.7 (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.
Meta: Muse Spark 1.3: 1.0M tokens, about 1,573 pages, against 1M (about 1,500 pages) for Anthropic: Claude Opus 4.7 (batch).
Tool calling — Anthropic: Claude Opus 4.7 (batch): yes, Meta: Muse Spark 1.3: yes. JSON-schema structured output — Anthropic: Claude Opus 4.7 (batch): yes, Meta: Muse Spark 1.3: yes.
Yes, both accept image input.
No free variant is listed for either; both are pay-per-token.
Anthropic: Claude Opus 4.7 (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).
Anthropic: Claude Opus 4.7 (batch) was listed on 2026-04-16; Meta: Muse Spark 1.3 on 2026-09-02.
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
Full Anthropic: Claude Opus 4.7 (batch) specs →Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...
Full Meta: Muse Spark 1.3 specs →