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DeepSeek VL2 Small vs Ember-1

Ember-1 leads the LLM Stats Score 43.1 to 1.2.

DeepSeek · Fireworks AI · Updated for 2026

Which is better?

Ember-1 leads the overall LLM Stats Score 43.1 to 1.2, ranking #51 overall.

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

Choose DeepSeek VL2 Small

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

Choose Ember-1

  • overall performance matters — it scores 43.1 and ranks #51 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek VL2 Small
DeepSeek
Ember-1
Fireworks AI
Core performance indexes
LLM Stats Score
1.2
#337
43.1
#51
Reasoning
-4.0
#355
38.6
#71
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$3.00 / M
Output price
— / M
$15.00 / M
Context window
—
1,040,000

Individual benchmarks

14 reported for DeepSeek VL2 Small · 4 for Ember-1

No common benchmarks found

DeepSeek VL2 Small and Ember-1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

2764.0B diff

Ember-1 has 2764.0B more parameters than DeepSeek VL2 Small, making it 17275.0% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
Fireworks AI
Ember-1
2.8Tparameters
16.0B
DeepSeek VL2 Small
2780.0B
Ember-1

Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Fireworks AI
Ember-1
Input1,040,000 tokens
Output- tokens
Mon Oct 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek VL2 Small supports multimodal inputs, whereas Ember-1 does not.

DeepSeek VL2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2 Small

Text
Images
Audio
Video

Ember-1

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Ember-1 uses a proprietary license.

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

DeepSeek VL2 Small

deepseek

Open weights

Ember-1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Ember-1 was released on 2026-09-23.

Ember-1 is 22 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.8 years ago

Ember-1

Sep 23, 2026

2 weeks ago

1.8yr 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?

Judge for yourself.

Run your own prompts against DeepSeek VL2 Small and Ember-1 side-by-side, then vote on the output you prefer.

DeepSeek VL2 Small
✓ Preferred
Ember-1
Open in Playground

FAQ

Common questions about DeepSeek VL2 Small vs Ember-1.

Which is better, DeepSeek VL2 Small or Ember-1?

Ember-1 leads the LLM Stats Score 43.1 to 1.2. DeepSeek VL2 Small is made by DeepSeek and Ember-1 is made by Fireworks AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek VL2 Small compare to Ember-1 in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Ember-1 scores SWE-Bench Verified: 92.2%, Terminal-Bench 2.1: 82.0%, DeepSWE 1.1: 75.2%, Tau2 Airline: 66.0%.

What are the context window sizes for DeepSeek VL2 Small and Ember-1?

DeepSeek VL2 Small supports an unknown number of tokens and Ember-1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 Small and Ember-1?

Key differences include LLM Stats Score (1.2 vs 43.1), multimodal support (yes vs no), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and Ember-1?

DeepSeek VL2 Small is developed by DeepSeek and Ember-1 is developed by Fireworks AI.

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