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Beam 1.0 vs Sarvam-105B

Beam 1.0 leads the LLM Stats Score 44.6 to 25.2.

Reflection AI · Sarvam AI · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 25.2, ranking #46 overall.

In the 4 individual benchmarks reported for both models, Beam 1.0 wins 4; 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 Beam 1.0

  • overall performance matters — it scores 44.6 and ranks #46 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Sarvam-105B

  • you are already invested in the Sarvam AI ecosystem

At a glance

The differences that matter most.

Core performance indexes
44.6
#46
25.2
#181
45.5
#37
25.7
#174
33.7
#39
-2.2
#273
28.8
#53
5.1
#170
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$0.40 / 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
Beam 1.0
Sarvam-105B
35.1#45
28.9#96
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 14 for Sarvam-105B

4 shared

Beam 1.0 outperforms in 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified), while Sarvam-105B is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

396.3B diff

Beam 1.0 has 396.3B more parameters than Sarvam-105B, making it 377.4% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Sarvam AI
Sarvam-105B
105.0Bparameters
501.3B
Beam 1.0
105.0B
Sarvam-105B

Context Window

Maximum input and output token capacity

Only Beam 1.0 specifies input context (1,048,576 tokens). Only Beam 1.0 specifies output context (131,072 tokens).

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Sarvam AI
Sarvam-105B
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Beam 1.0

Apache 2.0

Open weights

Sarvam-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Sarvam-105B was released on 2026-03-06.

Beam 1.0 is 7 months newer than Sarvam-105B.

Beam 1.0

Oct 16, 2026

6 days ago

7mo newer
Sarvam-105B

Mar 6, 2026

7 months ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Sarvam-105B's cutoff date is not specified.

We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without Sarvam-105B's cutoff date.

Beam 1.0

Jun 2026

Sarvam-105B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Sarvam-105B side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Sarvam-105B
Open in Playground

FAQ

Common questions about Beam 1.0 vs Sarvam-105B.

Which is better, Beam 1.0 or Sarvam-105B?

Beam 1.0 leads the LLM Stats Score 44.6 to 25.2. Beam 1.0 is made by Reflection 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 Beam 1.0 compare to Sarvam-105B in benchmarks?

Beam 1.0 scores AIME 2026: 97.7%, GPQA: 90.6%, LiveCodeBench: 88.3%, SWE-Bench Verified: 81.6%, MCP Atlas: 80.8%. 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 Beam 1.0 and Sarvam-105B?

Beam 1.0 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 Beam 1.0 and Sarvam-105B?

Key differences include LLM Stats Score (44.6 vs 25.2). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Sarvam-105B?

Beam 1.0 is developed by Reflection AI and Sarvam-105B is developed by Sarvam AI.