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Mistral Large 4 vs Sarvam-105B

Mistral Large 4 leads the LLM Stats Score 46.2 to 25.7.

Mistral AI · Sarvam AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 25.7, ranking #34 overall.

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

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Sarvam-105B

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

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Sarvam-105B
Sarvam AI
Core performance indexes
LLM Stats Score
46.2
#34
25.7
#170
Reasoning
44.0
#43
26.1
#164
Coding
35.8
#27
-1.7
#263
Agents
34.3
#26
5.5
#160
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
— / M
Output price
$2.09 / M
— / M
Context window
1,000,000
—

Individual benchmarks

18 reported for Mistral Large 4 · 14 for Sarvam-105B

No common benchmarks found

Mistral Large 4 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

Model Size

Parameter count comparison

945.0B diff

Mistral Large 4 has 945.0B more parameters than Sarvam-105B, making it 900.0% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
Sarvam AI
Sarvam-105B
105.0Bparameters
1050.0B
Mistral Large 4
105.0B
Sarvam-105B

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Sarvam AI
Sarvam-105B
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Sarvam-105B does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 4

Text
Images
Audio
Video

Sarvam-105B

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 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.

Mistral Large 4

Proprietary

Closed source

Sarvam-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Sarvam-105B was released on 2026-03-06.

Mistral Large 4 is 7 months newer than Sarvam-105B.

Mistral Large 4

Oct 6, 2026

2 days ago

7mo newer
Sarvam-105B

Mar 6, 2026

7 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?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Sarvam-105B side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Sarvam-105B
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Sarvam-105B.

Which is better, Mistral Large 4 or Sarvam-105B?

Mistral Large 4 leads the LLM Stats Score 46.2 to 25.7. Mistral Large 4 is made by Mistral AI 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 Mistral Large 4 compare to Sarvam-105B in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. 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 Mistral Large 4 and Sarvam-105B?

Mistral Large 4 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 Mistral Large 4 and Sarvam-105B?

Key differences include LLM Stats Score (46.2 vs 25.7), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Sarvam-105B?

Mistral Large 4 is developed by Mistral AI and Sarvam-105B is developed by Sarvam AI.

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