DeepSeek-V3 vs Ember-1

Ember-1 leads the LLM Stats Score 43.6 to 15.6. DeepSeek-V3 is 14.1x cheaper per token.

DeepSeek · Fireworks AI · Updated for 2026

Which is better?

Ember-1 leads the overall LLM Stats Score 43.6 to 15.6, ranking #46 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.

On price, DeepSeek-V3 is roughly 14.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Ember-1 also accepts a larger context window (1,040,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek-V3

cost matters — it's about 14.1x cheaper per token
you need open weights you can self-host or fine-tune

Choose Ember-1

overall performance matters — it scores 43.6 and ranks #46 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 process long inputs — it offers a 1,040,000 token context window
you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Better token value: DeepSeek-V3

Core performance indexes

LLM Stats Score

15.6

#243 · 19 evals

43.6

#46 · 4 evals

Best

Reasoning

14.7

#242 · 14 evals

38.6

#70 · 3 evals

Best

Coding

6.1

#205 · 4 evals

38.0

#20 · 3 evals

Best

Cost, coverage & limits

Benchmark wins

0 of 1

1 of 1

Best

Input price

$0.27 / M

Best

$3.00 / M

Output price

$0.89 / M

Best

$15.00 / M

Context window

131,072

1,040,000

Best

Individual benchmarks

20 reported for DeepSeek-V3 · 4 for Ember-1

1 shared

DeepSeek-V3 outperforms in 0 benchmarks, while Ember-1 is better at 1 benchmark (SWE-Bench Verified).

Ember-1 significantly outperforms across most benchmarks.

Wed Oct 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 11.1x cheaper than Ember-1 ($3.00/1M tokens).

For output processing, DeepSeek-V3 ($0.89/1M tokens) is 16.9x cheaper than Ember-1 ($15.00/1M tokens).

In conclusion, Ember-1 is more expensive than DeepSeek-V3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Wed Oct 07 2026 • llm-stats.com

DeepSeek-V3

Input tokens$0.27

Output tokens$0.89

Best providerDeepSeek

Ember-1

Input tokens$3.00

Output tokens$15.00

Best providerFireworks

Notice missing or incorrect data?

Model Size

Parameter count comparison

2109.0B diff

Ember-1 has 2109.0B more parameters than DeepSeek-V3, making it 314.3% larger.

DeepSeek-V3

671.0Bparameters

Ember-1

2.8Tparameters

671.0B

DeepSeek-V3

2780.0B

Ember-1

Context Window

Maximum input and output token capacity

Ember-1 accepts 1,040,000 input tokens compared to DeepSeek-V3's 131,072 tokens. Only DeepSeek-V3 specifies output context (131,072 tokens).

DeepSeek-V3

Input131,072 tokens

Output131,072 tokens

Ember-1

Input1,040,000 tokens

Output- tokens

Wed Oct 07 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Ember-1 uses a proprietary license.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Ember-1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Ember-1 was released on 2026-09-23.

Ember-1 is 21 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.8 years ago

Ember-1

Sep 23, 2026

2 weeks ago

1.7yr 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

Provider Availability

DeepSeek-V3 is available from DeepSeek, DeepInfra. Ember-1 is available from Fireworks.

DeepSeek-V3

DeepSeek

Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

Deepinfra

Input Price:Input: $0.32/1MOutput Price:Output: $0.89/1M

Ember-1

Fireworks

Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V3 and Ember-1 side-by-side, then vote on the output you prefer.

DeepSeek-V3

✓ Preferred

Ember-1

Open in Playground

FAQ

Common questions about DeepSeek-V3 vs Ember-1.

Which is better, DeepSeek-V3 or Ember-1?

Ember-1 leads the LLM Stats Score 43.6 to 15.6. DeepSeek-V3 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-V3 compare to Ember-1 in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Ember-1 scores SWE-Bench Verified: 92.2%, Terminal-Bench 2.1: 82.0%, DeepSWE 1.1: 75.2%, Tau2 Airline: 66.0%.

Is DeepSeek-V3 cheaper than Ember-1?

DeepSeek-V3 is 11.1x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $0.89/M output via deepseek. Ember-1 costs $3.00/M input and $15.00/M output via fireworks.

What are the context window sizes for DeepSeek-V3 and Ember-1?

DeepSeek-V3 supports 131K 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-V3 and Ember-1?

Key differences include LLM Stats Score (15.6 vs 43.6), context window (131K vs 1.0M), input pricing ($0.27 vs $3.00/M), licensing (MIT + Model License (Commercial use allowed) vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Ember-1?

DeepSeek-V3 is developed by DeepSeek and Ember-1 is developed by Fireworks AI.

DeepSeek-V3 vs Ember-1