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Qwen3.8-27B vs Sarvam-30B

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 2 benchmarks (GPQA, LiveCodeBench v6), while Sarvam-30B 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 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

Choose Sarvam-30B

  • you are already invested in the Sarvam AI ecosystem

At a glance

The differences that matter most.

Qwen3.8-27B
Alibaba Cloud / Qwen Team
Sarvam-30B
Sarvam AI
Benchmark wins
2 of 2
0 of 2
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

2 benchmarks

Qwen3.8-27B outperforms in 2 benchmarks (GPQA, LiveCodeBench v6), while Sarvam-30B 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

2.2B diff

Sarvam-30B has 2.2B more parameters than Qwen3.8-27B, making it 8.0% larger.

Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
Sarvam AI
Sarvam-30B
30.0Bparameters
27.8B
Qwen3.8-27B
30.0B
Sarvam-30B

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas Sarvam-30B 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-30B

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-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.8-27B was released on 2026-08-14, while Sarvam-30B was released on 2026-03-06.

Qwen3.8-27B is 5 months newer than Sarvam-30B.

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

5mo newer
Sarvam-30B

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-30B side-by-side, then vote on the output you prefer.

Qwen3.8-27B
✓ Preferred
Sarvam-30B
Open in Playground

FAQ

Common questions about Qwen3.8-27B vs Sarvam-30B.

Which is better, Qwen3.8-27B or Sarvam-30B?

Qwen3.8-27B significantly outperforms across most benchmarks. Qwen3.8-27B is made by Alibaba Cloud / Qwen Team and Sarvam-30B 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-30B 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-30B scores MATH-500: 97.0%, AIME 2025: 96.7%, MBPP: 92.7%, HumanEval: 92.1%, MMLU: 85.1%.

What are the main differences between Qwen3.8-27B and Sarvam-30B?

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-30B?

Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team and Sarvam-30B is developed by Sarvam AI.

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