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Gemini 3.7 Flash vs Sarvam-105B

Comparing Gemini 3.7 Flash and Sarvam-105B across benchmarks, pricing, and capabilities.

Google · Sarvam AI · Updated for 2026

Which is better?

Gemini 3.7 Flash and Sarvam-105B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 3.7 Flash

  • you want the most recent training data — it shipped Aug 2026

Choose Sarvam-105B

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

At a glance

The differences that matter most.

Gemini 3.7 Flash
Google
Sarvam-105B
Sarvam AI
Benchmark wins
—
—
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Mar 2026
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.7 Flash and Sarvam-105Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.7 Flash specifies input context (1,048,576 tokens). Only Gemini 3.7 Flash specifies output context (65,536 tokens).

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
Sarvam AI
Sarvam-105B
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.7 Flash supports multimodal inputs, whereas Sarvam-105B does not.

Gemini 3.7 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.7 Flash

Text
Images
Audio
Video

Sarvam-105B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.7 Flash 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.

Gemini 3.7 Flash

Proprietary

Closed source

Sarvam-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while Sarvam-105B was released on 2026-03-06.

Gemini 3.7 Flash is 5 months newer than Sarvam-105B.

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

5mo newer
Sarvam-105B

Mar 6, 2026

5 months ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while Sarvam-105B's cutoff date is not specified.

We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Sarvam-105B's cutoff date.

Gemini 3.7 Flash

Mar 2026

Sarvam-105B

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.7 Flash and Sarvam-105B side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
Sarvam-105B
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs Sarvam-105B.

Which is better, Gemini 3.7 Flash or Sarvam-105B?

Gemini 3.7 Flash (Google) and Sarvam-105B (Sarvam AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.7 Flash compare to Sarvam-105B in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%. 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 Gemini 3.7 Flash and Sarvam-105B?

Gemini 3.7 Flash 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 Gemini 3.7 Flash and Sarvam-105B?

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

Who makes Gemini 3.7 Flash and Sarvam-105B?

Gemini 3.7 Flash is developed by Google and Sarvam-105B is developed by Sarvam AI.

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