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DeepSeek-V4-Pro-0813 vs Sarvam-105B

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

DeepSeek · Sarvam AI · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while Sarvam-105B is better at 0 benchmarks. DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

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

Choose DeepSeek-V4-Pro-0813

  • you want the strongest raw capability — it leads on 1 of 1 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
1 of 1
0 of 1
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
Released
Aug 2026
Mar 2026
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while Sarvam-105B is better at 0 benchmarks.

DeepSeek-V4-Pro-0813 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

1495.0B diff

DeepSeek-V4-Pro-0813 has 1495.0B more parameters than Sarvam-105B, making it 1423.8% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
Sarvam AI
Sarvam-105B
105.0Bparameters
1600.0B
DeepSeek-V4-Pro-0813
105.0B
Sarvam-105B

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
Sarvam AI
Sarvam-105B
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while Sarvam-105B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4-Pro-0813

MIT

Open weights

Sarvam-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Sarvam-105B was released on 2026-03-06.

DeepSeek-V4-Pro-0813 is 5 months newer than Sarvam-105B.

DeepSeek-V4-Pro-0813

Aug 13, 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 DeepSeek-V4-Pro-0813 and Sarvam-105B side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Sarvam-105B
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Sarvam-105B.

Which is better, DeepSeek-V4-Pro-0813 or Sarvam-105B?

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks. DeepSeek-V4-Pro-0813 is made by DeepSeek 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 DeepSeek-V4-Pro-0813 compare to Sarvam-105B in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. Sarvam-105B scores MATH-500: 98.6%, AIME 2025: 96.7%, MMLU: 90.6%, HMMT 2025: 85.8%, HMMT25: 85.8%.

What are the context window sizes for DeepSeek-V4-Pro-0813 and Sarvam-105B?

DeepSeek-V4-Pro-0813 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 DeepSeek-V4-Pro-0813 and Sarvam-105B?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and Sarvam-105B?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Sarvam-105B is developed by Sarvam AI.