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Ember-1 vs Sarvam-30B

Ember-1 leads the LLM Stats Score 43.1 to 19.5.

Fireworks AI · Sarvam AI · Updated for 2026

Which is better?

Ember-1 leads the overall LLM Stats Score 43.1 to 19.5, ranking #51 overall.

In the 1 individual benchmarks reported for both models, Ember-1 wins 1; 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 Ember-1

  • overall performance matters — it scores 43.1 and ranks #51 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose Sarvam-30B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
43.1
#51
19.5
#218
38.6
#72
19.3
#216
37.0
#22
5.9
#207
29.7
#44
-1.4
#193
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
1,040,000
—

Individual benchmarks

4 reported for Ember-1 · 14 for Sarvam-30B

1 shared

Ember-1 outperforms in 1 benchmarks (SWE-Bench Verified), while Sarvam-30B is better at 0 benchmarks.

Ember-1 significantly outperforms across most benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

2750.0B diff

Ember-1 has 2750.0B more parameters than Sarvam-30B, making it 9166.7% larger.

Fireworks AI
Ember-1
2.8Tparameters
Sarvam AI
Sarvam-30B
30.0Bparameters
2780.0B
Ember-1
30.0B
Sarvam-30B

Context Window

Maximum input and output token capacity

Only Ember-1 specifies input context (1,040,000 tokens).

Fireworks AI
Ember-1
Input1,040,000 tokens
Output- tokens
Sarvam AI
Sarvam-30B
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

License

Usage and distribution terms

Ember-1 is licensed under a proprietary license, while Sarvam-30B uses Apache 2.0.

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

Ember-1

Proprietary

Closed source

Sarvam-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ember-1 was released on 2026-09-23, while Sarvam-30B was released on 2026-03-06.

Ember-1 is 7 months newer than Sarvam-30B.

Ember-1

Sep 23, 2026

2 weeks ago

6mo newer
Sarvam-30B

Mar 6, 2026

7 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 Ember-1 and Sarvam-30B side-by-side, then vote on the output you prefer.

Ember-1
✓ Preferred
Sarvam-30B
Open in Playground

FAQ

Common questions about Ember-1 vs Sarvam-30B.

Which is better, Ember-1 or Sarvam-30B?

Ember-1 leads the LLM Stats Score 43.1 to 19.5. Ember-1 is made by Fireworks AI and Sarvam-30B is made by Sarvam AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ember-1 compare to Sarvam-30B in benchmarks?

Ember-1 scores SWE-Bench Verified: 92.2%, Terminal-Bench 2.1: 82.0%, DeepSWE 1.1: 75.2%, Tau2 Airline: 66.0%. 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 Ember-1 and Sarvam-30B?

Ember-1 supports 1.0M 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 Ember-1 and Sarvam-30B?

Key differences include LLM Stats Score (43.1 vs 19.5), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Ember-1 and Sarvam-30B?

Ember-1 is developed by Fireworks AI and Sarvam-30B is developed by Sarvam AI.