Model Comparison

Gemini 3 Flash vs Sarvam-105BWhich is better in 2026?

Gemini 3 Flash significantly outperforms across most benchmarks.

Verdict: Gemini 3 Flash vs Sarvam-105B — which is better?

Gemini 3 Flash (by Google) and Sarvam-105B (by Sarvam AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 3 Flash outperforms in 4 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified), while Sarvam-105B is better at 0 benchmarks. Gemini 3 Flash significantly outperforms across most benchmarks.

Choose Gemini 3 Flash if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks

Choose Sarvam-105B if…

  • you want the most recent training data — it shipped Mar 2026
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 3 Flash outperforms in 4 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified), while Sarvam-105B is better at 0 benchmarks.

Gemini 3 Flash significantly outperforms across most benchmarks.

Wed Jun 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 3 Flash specifies input context (1,000,000 tokens). Only Gemini 3 Flash specifies output context (65,536 tokens).

Google
Gemini 3 Flash
Input1,000,000 tokens
Output65,536 tokens
Sarvam AI
Sarvam-105B
Input- tokens
Output- tokens
Wed Jun 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Flash supports multimodal inputs, whereas Sarvam-105B does not.

Gemini 3 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Flash

Text
Images
Audio
Video

Sarvam-105B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 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 Flash

Proprietary

Closed source

Sarvam-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3 Flash was released on 2025-12-17, while Sarvam-105B was released on 2026-03-06.

Sarvam-105B is 3 months newer than Gemini 3 Flash.

Gemini 3 Flash

Dec 17, 2025

6 months ago

Sarvam-105B

Mar 6, 2026

3 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 3 Flash has a documented knowledge cutoff of 2025-01-31, while Sarvam-105B's cutoff date is not specified.

We can confirm Gemini 3 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without Sarvam-105B's cutoff date.

Gemini 3 Flash

Jan 2025

Sarvam-105B

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (99.7% vs 96.7%)
Higher GPQA score (90.4% vs 78.7%)
Higher Humanity's Last Exam score (43.5% vs 11.2%)
Higher SWE-Bench Verified score (78.0% vs 45.0%)
Sarvam AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Flash
Sarvam AI
Sarvam-105B

FAQ

Common questions about Gemini 3 Flash vs Sarvam-105B.

Which is better, Gemini 3 Flash or Sarvam-105B?

Gemini 3 Flash significantly outperforms across most benchmarks. Gemini 3 Flash is made by Google and Sarvam-105B is made by Sarvam AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3 Flash compare to Sarvam-105B in benchmarks?

Gemini 3 Flash scores Vending-Bench 2: 100.0%, AIME 2025: 99.7%, Global PIQA: 92.8%, MMMLU: 91.8%, GPQA: 90.4%. 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 Flash and Sarvam-105B?

Gemini 3 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 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 Flash and Sarvam-105B?

Gemini 3 Flash is developed by Google and Sarvam-105B is developed by Sarvam AI.

Related comparisons