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MiMo-V2.6-Pro vs Sarvam-30B

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 19.6.

Xiaomi · Sarvam AI · Updated for 2026

Which is better?

MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 19.6, ranking #19 overall.

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

Choose MiMo-V2.6-Pro

  • overall performance matters — it scores 49.8 and ranks #19 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-30B

  • you are already invested in the Sarvam AI ecosystem

At a glance

The differences that matter most.

MiMo-V2.6-Pro
Xiaomi
Sarvam-30B
Sarvam AI
Core performance indexes
LLM Stats Score
49.8
#19
19.6
#205
Reasoning
45.2
#30
19.3
#203
Coding
41.8
#9
5.9
#196
Agents
37.5
#13
-1.4
#179
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—

Individual benchmarks

18 reported for MiMo-V2.6-Pro · 14 for Sarvam-30B

No common benchmarks found

MiMo-V2.6-Pro and Sarvam-30Bdon'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

990.0B diff

MiMo-V2.6-Pro has 990.0B more parameters than Sarvam-30B, making it 3300.0% larger.

Xiaomi
MiMo-V2.6-Pro
1.0Tparameters
Sarvam AI
Sarvam-30B
30.0Bparameters
1020.0B
MiMo-V2.6-Pro
30.0B
Sarvam-30B

Context Window

Maximum input and output token capacity

Only MiMo-V2.6-Pro specifies input context (1,048,576 tokens).

Xiaomi
MiMo-V2.6-Pro
Input1,048,576 tokens
Output- tokens
Sarvam AI
Sarvam-30B
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Pro supports multimodal inputs, whereas Sarvam-30B does not.

MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiMo-V2.6-Pro

Text
Images
Audio
Video

Sarvam-30B

Text
Images
Audio
Video

License

Usage and distribution terms

MiMo-V2.6-Pro is licensed under MIT, while Sarvam-30B uses Apache 2.0.

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

MiMo-V2.6-Pro

MIT

Open weights

Sarvam-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiMo-V2.6-Pro was released on 2026-09-22, while Sarvam-30B was released on 2026-03-06.

MiMo-V2.6-Pro is 7 months newer than Sarvam-30B.

MiMo-V2.6-Pro

Sep 22, 2026

0 days ago

6mo newer
Sarvam-30B

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 MiMo-V2.6-Pro and Sarvam-30B side-by-side, then vote on the output you prefer.

MiMo-V2.6-Pro
✓ Preferred
Sarvam-30B
Open in Playground

FAQ

Common questions about MiMo-V2.6-Pro vs Sarvam-30B.

Which is better, MiMo-V2.6-Pro or Sarvam-30B?

MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 19.6. MiMo-V2.6-Pro is made by Xiaomi and Sarvam-30B 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 MiMo-V2.6-Pro compare to Sarvam-30B in benchmarks?

MiMo-V2.6-Pro scores CyberGym: 94.0%, Terminal-Bench 2.1: 89.9%, OSWorld-Verified: 82.0%, MiMo Cyber Bench: 81.7%, Toolathlon-Verified: 76.9%. Sarvam-30B scores MATH-500: 97.0%, AIME 2025: 96.7%, MBPP: 92.7%, HumanEval: 92.1%, MMLU: 85.1%.

What are the context window sizes for MiMo-V2.6-Pro and Sarvam-30B?

MiMo-V2.6-Pro supports 1.0M tokens and Sarvam-30B 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 MiMo-V2.6-Pro and Sarvam-30B?

Key differences include LLM Stats Score (49.8 vs 19.6), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MiMo-V2.6-Pro and Sarvam-30B?

MiMo-V2.6-Pro is developed by Xiaomi and Sarvam-30B is developed by Sarvam AI.

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