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Qwen3.8-27B vs Sarvam-105B

Qwen3.8-27B significantly outperforms across most benchmarks.

Alibaba Cloud / Qwen Team · Sarvam AI · Updated for 2026

Which is better?

Qwen3.8-27B outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6), while Sarvam-105B is better at 0 benchmarks. Qwen3.8-27B significantly outperforms across most benchmarks.

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

Choose Qwen3.8-27B

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

Choose Sarvam-105B

  • you are already invested in the Sarvam AI ecosystem

At a glance

The differences that matter most.

Benchmark wins
3 of 3
0 of 3
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Aug 2026
Mar 2026
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Qwen3.8-27B outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6), while Sarvam-105B is better at 0 benchmarks.

Qwen3.8-27B significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

77.2B diff

Sarvam-105B has 77.2B more parameters than Qwen3.8-27B, making it 278.0% larger.

Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
Sarvam AI
Sarvam-105B
105.0Bparameters
27.8B
Qwen3.8-27B
105.0B
Sarvam-105B

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas Sarvam-105B does not.

Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.8-27B

Text
Images
Audio
Video

Sarvam-105B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

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

Qwen3.8-27B

Apache 2.0

Open weights

Sarvam-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.8-27B was released on 2026-08-14, while Sarvam-105B was released on 2026-03-06.

Qwen3.8-27B is 5 months newer than Sarvam-105B.

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

5mo newer
Sarvam-105B

Mar 6, 2026

5 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 Qwen3.8-27B and Sarvam-105B side-by-side, then vote on the output you prefer.

Qwen3.8-27B
✓ Preferred
Sarvam-105B
Open in Playground

FAQ

Common questions about Qwen3.8-27B vs Sarvam-105B.

Which is better, Qwen3.8-27B or Sarvam-105B?

Qwen3.8-27B significantly outperforms across most benchmarks. Qwen3.8-27B is made by Alibaba Cloud / Qwen Team 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 Qwen3.8-27B compare to Sarvam-105B in benchmarks?

Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%. Sarvam-105B scores MATH-500: 98.6%, AIME 2025: 96.7%, MMLU: 90.6%, HMMT 2025: 85.8%, HMMT25: 85.8%.

What are the main differences between Qwen3.8-27B and Sarvam-105B?

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

Who makes Qwen3.8-27B and Sarvam-105B?

Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team and Sarvam-105B is developed by Sarvam AI.