Model Comparison

Qwen3.5-397B-A17B vs Sarvam-105BWhich is better in 2026?

Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

Verdict: Qwen3.5-397B-A17B vs Sarvam-105B — which is better?

Qwen3.5-397B-A17B (by Alibaba Cloud / Qwen Team) 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.

Qwen3.5-397B-A17B outperforms in 9 benchmarks (BrowseComp, GPQA, HMMT 2025, HMMT25, Humanity's Last Exam, IFEval, LiveCodeBench v6, MMLU-Pro, SWE-Bench Verified), while Sarvam-105B is better at 0 benchmarks. Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

Choose Qwen3.5-397B-A17B if…

  • you want the strongest raw capability — it leads on 9 of 9 shared benchmarks

Choose Sarvam-105B if…

  • you want the most recent training data — it shipped Mar 2026
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Performance Benchmarks

Comparative analysis across standard metrics

9 benchmarks

Qwen3.5-397B-A17B outperforms in 9 benchmarks (BrowseComp, GPQA, HMMT 2025, HMMT25, Humanity's Last Exam, IFEval, LiveCodeBench v6, MMLU-Pro, SWE-Bench Verified), while Sarvam-105B is better at 0 benchmarks.

Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

Sun Jun 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

292.0B diff

Qwen3.5-397B-A17B has 292.0B more parameters than Sarvam-105B, making it 278.1% larger.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
Sarvam AI
Sarvam-105B
105.0Bparameters
397.0B
Qwen3.5-397B-A17B
105.0B
Sarvam-105B

Context Window

Maximum input and output token capacity

Only Qwen3.5-397B-A17B specifies input context (262,144 tokens). Only Qwen3.5-397B-A17B specifies output context (64,000 tokens).

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Sarvam AI
Sarvam-105B
Input- tokens
Output- tokens
Sun Jun 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-397B-A17B supports multimodal inputs, whereas Sarvam-105B does not.

Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.5-397B-A17B

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.

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Sarvam-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while Sarvam-105B was released on 2026-03-06.

Sarvam-105B is 1 month newer than Qwen3.5-397B-A17B.

Qwen3.5-397B-A17B

Feb 16, 2026

3 months ago

Sarvam-105B

Mar 6, 2026

3 months ago

2w newer

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→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Supports multimodal inputs
Higher BrowseComp score (69.0% vs 49.5%)
Higher GPQA score (88.4% vs 78.7%)
Higher HMMT 2025 score (94.8% vs 85.8%)
Higher HMMT25 score (92.7% vs 85.8%)
Higher Humanity's Last Exam score (28.7% vs 11.2%)
Higher IFEval score (92.6% vs 84.8%)
Higher LiveCodeBench v6 score (83.6% vs 71.7%)
Higher MMLU-Pro score (87.8% vs 81.7%)
Higher SWE-Bench Verified score (76.4% vs 45.0%)
Sarvam AI

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Sarvam AI
Sarvam-105B

FAQ

Common questions about Qwen3.5-397B-A17B vs Sarvam-105B.

Which is better, Qwen3.5-397B-A17B or Sarvam-105B?

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B 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 Qwen3.5-397B-A17B compare to Sarvam-105B in benchmarks?

Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. 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 Qwen3.5-397B-A17B and Sarvam-105B?

Qwen3.5-397B-A17B supports 262K 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 Qwen3.5-397B-A17B and Sarvam-105B?

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

Who makes Qwen3.5-397B-A17B and Sarvam-105B?

Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and Sarvam-105B is developed by Sarvam AI.

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