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Muse Spark 1.3 vs Sarvam-105B

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 25.9.

Meta · Sarvam AI · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 25.9, ranking #5 overall.

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

Choose Muse Spark 1.3

  • overall performance matters — it scores 55.3 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Sarvam-105B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Muse Spark 1.3
Meta
Sarvam-105B
Sarvam AI
Core performance indexes
LLM Stats Score
55.3
#5
25.9
#144
Reasoning
52.8
#7
26.4
#138
Coding
41.7
#10
-1.3
#238
Agents
40.4
#4
6.2
#133
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.20 / M
— / M
Context window
1,048,576
—

Individual benchmarks

11 reported for Muse Spark 1.3 · 14 for Sarvam-105B

No common benchmarks found

Muse Spark 1.3 and Sarvam-105Bdon'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

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).

Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Sarvam AI
Sarvam-105B
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas Sarvam-105B does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Muse Spark 1.3

Text
Images
Audio
Video

Sarvam-105B

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark 1.3 is licensed under a proprietary license, while Sarvam-105B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Muse Spark 1.3

Proprietary

Closed source

Sarvam-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Spark 1.3 was released on 2026-09-02, while Sarvam-105B was released on 2026-03-06.

Muse Spark 1.3 is 6 months newer than Sarvam-105B.

Muse Spark 1.3

Sep 2, 2026

2 days ago

6mo newer
Sarvam-105B

Mar 6, 2026

6 months ago

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Muse Spark 1.3 and Sarvam-105B side-by-side, then vote on the output you prefer.

Muse Spark 1.3
✓ Preferred
Sarvam-105B
Open in Playground

FAQ

Common questions about Muse Spark 1.3 vs Sarvam-105B.

Which is better, Muse Spark 1.3 or Sarvam-105B?

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 25.9. Muse Spark 1.3 is made by Meta and Sarvam-105B is made by Sarvam AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Spark 1.3 compare to Sarvam-105B in benchmarks?

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%. Sarvam-105B scores MATH-500: 98.6%, AIME 2025: 96.7%, MMLU: 90.6%, HMMT 2025: 85.8%, HMMT25: 85.8%.

What are the context window sizes for Muse Spark 1.3 and Sarvam-105B?

Muse Spark 1.3 supports 1.0M tokens and Sarvam-105B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Spark 1.3 and Sarvam-105B?

Key differences include LLM Stats Score (55.3 vs 25.9), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark 1.3 and Sarvam-105B?

Muse Spark 1.3 is developed by Meta and Sarvam-105B is developed by Sarvam AI.

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