New: $100 promo credits · Daily limits applyGet started

Muse Spark 1.3

Chat model by Meta.

Meta language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation.

Get API keyPlayground
Models / Muse Spark 1.3ID: meta/muse-spark-1.3

Context window

Maximum input context length.

1.05M

tokens

Maker

Meta

Served On: Meta

Specifications

Context window, ranked against other chat models

Proportional scale: 0 to 1.05M tokens. Not ranked, no published context window: qwen-plus-2025-09-11, voxtral-small-24b-2507, qwen3.6-plus-2026-04-02.

Context window

1.0M

tokens
Max output

—

Modality

chat

Vision
Function calling
System prompt

Benchmarks & performance rankings

Empirical intelligence benchmarks and category leaderboard placements for Muse Spark 1.3.

Compare in BenchmarksLeaderboard
Leaderboard placements
#7
overallScore: 98.6%
#15
documentScore: 0%
Core benchmark dimensionsSource: Meta AI Research Evaluation & LMSYS
MMLUKnowledge

91.4%

HumanEvalCoding

92.8%

Latency p50TTFT

260ms

p99: 720ms

ThroughputStream

110tok/s

SWE-bench: 49.2%

Recommended by nRouter Smart Routing: Global enterprise applications, multi-domain creative generation, and technical QA. Key operational strength: Hybrid reasoning architecture with advanced steerability and multilingual world knowledge.

Pricing

Rates are read live

Pricing for muse-spark-1.3 is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.

Availability

Not enough data yet

We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.

How Muse Spark 1.3 is billed

Billed at the provider's list price, with no per-token markup.

Exact list price
Tokens settle at the published rate of the model that served your call.
Cache discounts passed through
Provider prompt-caching discounts reach your balance with no added fee.
Cost on every response
Each response carries the x-nr-request-cost header, so you can reconcile spend per request.

More from Meta

muse-spark-1.1muse-spark-1.3-contributorNousResearch/Hermes-3-Llama-3.1-70Bmeta-models/Muse-Glimmer-30B

Start building with muse-spark-1.3

One API key, three steps. Choose your tool to begin.

  1. Get a key

    Create API key

  2. Set your API key

    export NROUTER_API_KEY="<YOUR_API_KEY>"

  3. Configure Claude Code

    Choose a tool, then copy its setup from the panel.

npm install -g @anthropic-ai/claude-code
Claude Code · meta/muse-spark-1.3
# Point Claude Code to nRouter gateway
export ANTHROPIC_BASE_URL="https://api.nrouter.ai"
export ANTHROPIC_API_KEY="$NROUTER_API_KEY"

# Launch with meta/muse-spark-1.3
claude --model meta/muse-spark-1.3

FAQs

What is Muse Spark 1.3?

Meta language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation.

How much does Muse Spark 1.3 cost?

Muse Spark 1.3 is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.

What is the context length of Muse Spark 1.3?

Muse Spark 1.3 supports a 1,048,576-token context window.

Does Muse Spark 1.3 support tool calling and structured outputs?

No. Muse Spark 1.3 does not support tool calling, so it cannot invoke external tools or functions.

What inputs and outputs does Muse Spark 1.3 support?

Muse Spark 1.3 takes text and images as input and returns text as output.

How do I use Muse Spark 1.3 via nRouter?

Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "meta/muse-spark-1.3". The quick-start panel above has a copy-paste curl command for this model.

When was Muse Spark 1.3 released?

Muse Spark 1.3 was released on October 6, 2026.

Where is the Muse Spark 1.3 documentation?

Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.

What other text models does Meta have?

Other Meta text models on nRouter include Muse Spark 1.1 (nrouter.ai/models/muse-spark-1.1), Muse Spark 1.3 Contributor (nrouter.ai/models/muse-spark-1.3-contributor), Hermes 3 Llama 3.1 70B (nrouter.ai/models/nousresearch-hermes-3-llama-3.1-70b), Muse Glimmer 30B (nrouter.ai/models/meta-models-muse-glimmer-30b).