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Gemini 3.5 Transcribe vs Muse Spark 1.3

Comparing Gemini 3.5 Transcribe and Muse Spark 1.3 across benchmarks, pricing, and capabilities.

Google · Meta · Updated for 2026

Which is better?

Gemini 3.5 Transcribe and Muse Spark 1.3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Muse Spark 1.3 is roughly 36.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.5 Transcribe

  • you want predictable pricing at $2.00/M input and $12.00/M output

Choose Muse Spark 1.3

  • cost matters — it's about 36.0x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Gemini 3.5 Transcribe
Google
Muse Spark 1.3
Meta
Benchmark wins
—
—
Input price
$2.00 / M
$0.10 / M
Output price
$12.00 / M
$0.20 / M
Context window
—
1,048,576

Individual benchmarks

1 reported for Gemini 3.5 Transcribe · 11 for Muse Spark 1.3

No common benchmarks found

Gemini 3.5 Transcribe and Muse Spark 1.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Muse Spark 1.3 costs less

For input processing, Gemini 3.5 Transcribe ($2.00/1M tokens) is 20.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).

For output processing, Gemini 3.5 Transcribe ($12.00/1M tokens) is 60.0x more expensive than Muse Spark 1.3 ($0.20/1M tokens).

In conclusion, Gemini 3.5 Transcribe is more expensive than Muse Spark 1.3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Sep 05 2026 • llm-stats.com
Google
Gemini 3.5 Transcribe
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Meta
Muse Spark 1.3
Input tokens$0.10
Output tokens$0.20
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Muse Spark 1.3 specifies input context (1,048,576 tokens). Only Muse Spark 1.3 specifies output context (943,718 tokens).

Google
Gemini 3.5 Transcribe
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.5 Transcribe and Muse Spark 1.3 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.5 Transcribe

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.5 Transcribe

Proprietary

Closed source

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.5 Transcribe was released on 2026-08-26, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 0 month newer than Gemini 3.5 Transcribe.

Gemini 3.5 Transcribe

Aug 26, 2026

1 weeks ago

Muse Spark 1.3

Sep 2, 2026

3 days ago

1w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Gemini 3.5 Transcribe is available from Google. Muse Spark 1.3 is available from Meta Model API.

Gemini 3.5 Transcribe

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

Muse Spark 1.3

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.5 Transcribe and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Gemini 3.5 Transcribe
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Gemini 3.5 Transcribe vs Muse Spark 1.3.

Which is better, Gemini 3.5 Transcribe or Muse Spark 1.3?

Gemini 3.5 Transcribe (Google) and Muse Spark 1.3 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.5 Transcribe compare to Muse Spark 1.3 in benchmarks?

Gemini 3.5 Transcribe scores FLEURS: 95.0%. Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

Is Gemini 3.5 Transcribe cheaper than Muse Spark 1.3?

Muse Spark 1.3 is 20.0x cheaper for input tokens. Gemini 3.5 Transcribe costs $2.00/M input and $12.00/M output via google. Muse Spark 1.3 costs $0.10/M input and $0.20/M output via meta.

What are the context window sizes for Gemini 3.5 Transcribe and Muse Spark 1.3?

Gemini 3.5 Transcribe supports an unknown number of tokens and Muse Spark 1.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.5 Transcribe and Muse Spark 1.3?

Key differences include input pricing ($2.00 vs $0.10/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Transcribe and Muse Spark 1.3?

Gemini 3.5 Transcribe is developed by Google and Muse Spark 1.3 is developed by Meta.

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