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Sarvam-30B vs Step-3.5-Flash

Step-3.5-Flash leads the LLM Stats Score 36.5 to 18.9.

Sarvam AI · StepFun · Updated for 2026

Which is better?

Step-3.5-Flash leads the overall LLM Stats Score 36.5 to 18.9, ranking #94 overall.

In the 4 individual benchmarks reported for both models, Step-3.5-Flash wins 4; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Sarvam-30B

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

Choose Step-3.5-Flash

  • overall performance matters — it scores 36.5 and ranks #94 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results

At a glance

The differences that matter most.

Sarvam-30B
Sarvam AI
Step-3.5-Flash
StepFun
Core performance indexes
LLM Stats Score
18.9
#238
36.5
#94
Reasoning
18.7
#236
36.5
#94
Coding
5.6
#226
20.5
#120
Agents
-2.3
#211
15.0
#115
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
— / M
$0.10 / M
Output price
— / M
$0.40 / M
Context window
—
65,536

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Sarvam-30B
Step-3.5-Flash
Math
23.5#140
34.0#55
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for Sarvam-30B · 7 for Step-3.5-Flash

4 shared

Sarvam-30B outperforms in 0 benchmarks, while Step-3.5-Flash is better at 4 benchmarks (AIME 2025, BrowseComp, LiveCodeBench v6, SWE-Bench Verified).

Step-3.5-Flash significantly outperforms across most benchmarks.

Sat Oct 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

166.0B diff

Step-3.5-Flash has 166.0B more parameters than Sarvam-30B, making it 553.3% larger.

Sarvam AI
Sarvam-30B
30.0Bparameters
StepFun
Step-3.5-Flash
196.0Bparameters
30.0B
Sarvam-30B
196.0B
Step-3.5-Flash

Context Window

Maximum input and output token capacity

Only Step-3.5-Flash specifies input context (65,536 tokens). Only Step-3.5-Flash specifies output context (8,192 tokens).

Sarvam AI
Sarvam-30B
Input- tokens
Output- tokens
StepFun
Step-3.5-Flash
Input65,536 tokens
Output8,192 tokens
Sat Oct 31 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

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

Sarvam-30B

Apache 2.0

Open weights

Step-3.5-Flash

Apache 2.0

Open weights

Release Timeline

When each model was launched

Sarvam-30B was released on 2026-03-06, while Step-3.5-Flash was released on 2026-02-02.

Sarvam-30B is 1 month newer than Step-3.5-Flash.

Sarvam-30B

Mar 6, 2026

7 months ago

1mo newer
Step-3.5-Flash

Feb 2, 2026

9 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?

Judge for yourself.

Run your own prompts against Sarvam-30B and Step-3.5-Flash side-by-side, then vote on the output you prefer.

Sarvam-30B
✓ Preferred
Step-3.5-Flash
Open in Playground

FAQ

Common questions about Sarvam-30B vs Step-3.5-Flash.

Which is better, Sarvam-30B or Step-3.5-Flash?

Step-3.5-Flash leads the LLM Stats Score 36.5 to 18.9. Sarvam-30B is made by Sarvam AI and Step-3.5-Flash is made by StepFun. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Sarvam-30B compare to Step-3.5-Flash in benchmarks?

Sarvam-30B scores MATH-500: 97.0%, AIME 2025: 96.7%, MBPP: 92.7%, HumanEval: 92.1%, MMLU: 85.1%. Step-3.5-Flash scores AIME 2025: 97.3%, Tau-bench: 88.2%, LiveCodeBench v6: 86.4%, IMO-AnswerBench: 85.4%, SWE-Bench Verified: 74.4%.

What are the context window sizes for Sarvam-30B and Step-3.5-Flash?

Sarvam-30B supports an unknown number of tokens and Step-3.5-Flash supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Sarvam-30B and Step-3.5-Flash?

Key differences include LLM Stats Score (18.9 vs 36.5). See the full comparison above for benchmark-by-benchmark results.

Who makes Sarvam-30B and Step-3.5-Flash?

Sarvam-30B is developed by Sarvam AI and Step-3.5-Flash is developed by StepFun.

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