Model Comparison

Phi 4 vs Sarvam-30BWhich is better in 2026?

Sarvam-30B significantly outperforms across most benchmarks.

Verdict: Phi 4 vs Sarvam-30B — which is better?

Phi 4 (by Microsoft) and Sarvam-30B (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.

Phi 4 outperforms in 0 benchmarks, while Sarvam-30B is better at 4 benchmarks (GPQA, HumanEval, MMLU, MMLU-Pro). Sarvam-30B significantly outperforms across most benchmarks.

Choose Phi 4 if…

  • you want predictable pricing at $0.07/M input and $0.14/M output

Choose Sarvam-30B if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you want the most recent training data — it shipped Mar 2026

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Phi 4 outperforms in 0 benchmarks, while Sarvam-30B is better at 4 benchmarks (GPQA, HumanEval, MMLU, MMLU-Pro).

Sarvam-30B significantly outperforms across most benchmarks.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

15.3B diff

Sarvam-30B has 15.3B more parameters than Phi 4, making it 104.1% larger.

Microsoft
Phi 4
14.7Bparameters
Sarvam AI
Sarvam-30B
30.0Bparameters
14.7B
Phi 4
30.0B
Sarvam-30B

Context Window

Maximum input and output token capacity

Only Phi 4 specifies input context (16,000 tokens). Only Phi 4 specifies output context (16,000 tokens).

Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Sarvam AI
Sarvam-30B
Input- tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

License

Usage and distribution terms

Phi 4 is licensed under MIT, while Sarvam-30B uses Apache 2.0.

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

Phi 4

MIT

Open weights

Sarvam-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 was released on 2024-12-12, while Sarvam-30B was released on 2026-03-06.

Sarvam-30B is 15 months newer than Phi 4.

Phi 4

Dec 12, 2024

1.6 years ago

Sarvam-30B

Mar 6, 2026

4 months ago

1.2yr newer

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while Sarvam-30B's cutoff date is not specified.

We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without Sarvam-30B's cutoff date.

Phi 4

Jun 2024

Sarvam-30B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (16,000 tokens)
Higher GPQA score (66.5% vs 56.1%)
Higher HumanEval score (92.1% vs 82.6%)
Higher MMLU score (85.1% vs 84.8%)
Higher MMLU-Pro score (80.0% vs 70.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Phi 4 and Sarvam-30B side-by-side, then vote on the output you prefer.

Phi 4
✓ Preferred
Sarvam-30B
Open in Playground
AI Model Comparison Table
Feature
Microsoft
Phi 4
Sarvam AI
Sarvam-30B

FAQ

Common questions about Phi 4 vs Sarvam-30B.

Which is better, Phi 4 or Sarvam-30B?

Sarvam-30B significantly outperforms across most benchmarks. Phi 4 is made by Microsoft 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 Phi 4 compare to Sarvam-30B in benchmarks?

Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%. Sarvam-30B scores MATH-500: 97.0%, AIME 2025: 96.7%, MBPP: 92.7%, HumanEval: 92.1%, MMLU: 85.1%.

What are the context window sizes for Phi 4 and Sarvam-30B?

Phi 4 supports 16K tokens and Sarvam-30B 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 Phi 4 and Sarvam-30B?

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

Who makes Phi 4 and Sarvam-30B?

Phi 4 is developed by Microsoft and Sarvam-30B is developed by Sarvam AI.