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LongCat-2.5 vs Sarvam-105B

LongCat-2.5 leads the LLM Stats Score 50.0 to 24.9.

Meituan · Sarvam AI · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 24.9, ranking #20 overall.

In the 1 individual benchmarks reported for both models, LongCat-2.5 wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose LongCat-2.5

  • overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Nov 2026

Choose Sarvam-105B

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

At a glance

The differences that matter most.

Core performance indexes
50.0
#20
24.9
#194
48.3
#21
25.4
#185
38.6
#27
-1.9
#284
36.3
#23
4.3
#187
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LongCat-2.5
Sarvam-105B
37.2#37
28.9#98
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for LongCat-2.5 · 14 for Sarvam-105B

1 shared

LongCat-2.5 outperforms in 1 benchmarks (BrowseComp), while Sarvam-105B is better at 0 benchmarks.

LongCat-2.5 significantly outperforms across most benchmarks.

Mon Nov 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1495.0B diff

LongCat-2.5 has 1495.0B more parameters than Sarvam-105B, making it 1423.8% larger.

Meituan
LongCat-2.5
1.6Tparameters
Sarvam AI
Sarvam-105B
105.0Bparameters
1600.0B
LongCat-2.5
105.0B
Sarvam-105B

Context Window

Maximum input and output token capacity

Only LongCat-2.5 specifies input context (1,048,576 tokens). Only LongCat-2.5 specifies output context (131,072 tokens).

Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Sarvam AI
Sarvam-105B
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LongCat-2.5 supports multimodal inputs, whereas Sarvam-105B does not.

LongCat-2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

LongCat-2.5

Text
Images
Audio
Video

Sarvam-105B

Text
Images
Audio
Video

Release Timeline

When each model was launched

LongCat-2.5 was released on 2026-11-01, while Sarvam-105B was released on 2026-03-06.

LongCat-2.5 is 8 months newer than Sarvam-105B.

LongCat-2.5

Nov 1, 2026

0 days ago

8mo newer
Sarvam-105B

Mar 6, 2026

8 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 LongCat-2.5 and Sarvam-105B side-by-side, then vote on the output you prefer.

LongCat-2.5
✓ Preferred
Sarvam-105B
Open in Playground

FAQ

Common questions about LongCat-2.5 vs Sarvam-105B.

Which is better, LongCat-2.5 or Sarvam-105B?

LongCat-2.5 leads the LLM Stats Score 50.0 to 24.9. LongCat-2.5 is made by Meituan 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 LongCat-2.5 compare to Sarvam-105B in benchmarks?

LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%. 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 LongCat-2.5 and Sarvam-105B?

LongCat-2.5 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 LongCat-2.5 and Sarvam-105B?

Key differences include LLM Stats Score (50.0 vs 24.9), multimodal support (yes vs no), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LongCat-2.5 and Sarvam-105B?

LongCat-2.5 is developed by Meituan and Sarvam-105B is developed by Sarvam AI.