DeepSeek-V4-Pro-0813 vs Ember-1

DeepSeek-V4-Pro-0813 and Ember-1 are closely matched at 50.6 and 43.1 on the LLM Stats Score. DeepSeek-V4-Pro-0813 is 3.7x cheaper per token.

DeepSeek · Fireworks AI · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and Ember-1 are closely matched on the overall LLM Stats Score at 50.6 and 43.1.

In the 1 individual benchmarks reported for both models, DeepSeek-V4-Pro-0813 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4-Pro-0813 is roughly 3.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Pro-0813 also accepts a larger context window (1,048,576 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-V4-Pro-0813

you value its reported benchmark strengths — it wins 1 of 1 exact shared results
cost matters — it's about 3.7x cheaper per token
you process long inputs — it offers a 1,048,576 token context window
you need open weights you can self-host or fine-tune

Choose Ember-1

you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Better token value: DeepSeek-V4-Pro-0813

Core performance indexes

LLM Stats Score

50.6

#18 · 11 evals

Best

43.1

#51 · 4 evals

Reasoning

48.5

#19 · 7 evals

Best

38.6

#71 · 3 evals

Coding

38.7

#19 · 5 evals

Best

37.0

#22 · 3 evals

Agents

35.4

#20 · 8 evals

Best

29.7

#44 · 2 evals

Cost, coverage & limits

Benchmark wins

1 of 1

Best

0 of 1

Input price

$1.30 / M

Best

$3.00 / M

Output price

$2.60 / M

Best

$15.00 / M

Context window

1,048,576

Best

1,040,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

DeepSeek-V4-Pro-0813

Ember-1

Tool use

27.3#25 · 4 evals

15.9#94 · 2 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for DeepSeek-V4-Pro-0813 · 4 for Ember-1

1 shared

DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Terminal-Bench 2.1), while Ember-1 is better at 0 benchmarks.

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

Sun Oct 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Pro-0813 costs less

For input processing, DeepSeek-V4-Pro-0813 ($1.30/1M tokens) is 2.3x cheaper than Ember-1 ($3.00/1M tokens).

For output processing, DeepSeek-V4-Pro-0813 ($2.60/1M tokens) is 5.8x cheaper than Ember-1 ($15.00/1M tokens).

In conclusion, Ember-1 is more expensive than DeepSeek-V4-Pro-0813.*

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

Lowest available price from all providers

Sun Oct 11 2026 • llm-stats.com

DeepSeek-V4-Pro-0813

Input tokens$1.30

Output tokens$2.60

Best providerDeepinfra

Ember-1

Input tokens$3.00

Output tokens$15.00

Best providerFireworks

Notice missing or incorrect data?

Model Size

Parameter count comparison

1180.0B diff

Ember-1 has 1180.0B more parameters than DeepSeek-V4-Pro-0813, making it 73.8% larger.

DeepSeek-V4-Pro-0813

1.6Tparameters

Ember-1

2.8Tparameters

1600.0B

DeepSeek-V4-Pro-0813

2780.0B

Ember-1

Context Window

Maximum input and output token capacity

DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Ember-1's 1,040,000 tokens. Only DeepSeek-V4-Pro-0813 specifies output context (1,048,576 tokens).

DeepSeek-V4-Pro-0813

Input1,048,576 tokens

Output1,048,576 tokens

Ember-1

Input1,040,000 tokens

Output- tokens

Sun Oct 11 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while Ember-1 uses a proprietary license.

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

DeepSeek-V4-Pro-0813

MIT

Open weights

Ember-1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Ember-1 was released on 2026-09-23.

Ember-1 is 1 month newer than DeepSeek-V4-Pro-0813.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 months ago

Ember-1

Sep 23, 2026

2 weeks ago

1mo 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-V4-Pro-0813 is available from DeepInfra, DeepSeek, Novita, Together. Ember-1 is available from Fireworks.

DeepSeek-V4-Pro-0813

Deepinfra

Input Price:Input: $1.30/1MOutput Price:Output: $2.60/1M

DeepSeek

Input Price:Input: $1.32/1MOutput Price:Output: $3.96/1M

Novita

Input Price:Input: $1.32/1MOutput Price:Output: $3.96/1M

Together

Input Price:Input: $1.32/1MOutput Price:Output: $3.96/1M

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-V4-Pro-0813 and Ember-1 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813

✓ Preferred

Ember-1

Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Ember-1.

Which is better, DeepSeek-V4-Pro-0813 or Ember-1?

DeepSeek-V4-Pro-0813 and Ember-1 are closely matched on the LLM Stats Score at 50.6 and 43.1. DeepSeek-V4-Pro-0813 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-V4-Pro-0813 compare to Ember-1 in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. 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-V4-Pro-0813 cheaper than Ember-1?

DeepSeek-V4-Pro-0813 is 2.3x cheaper for input tokens. DeepSeek-V4-Pro-0813 costs $1.30/M input and $2.60/M output via deepinfra. Ember-1 costs $3.00/M input and $15.00/M output via fireworks.

What are the context window sizes for DeepSeek-V4-Pro-0813 and Ember-1?

DeepSeek-V4-Pro-0813 supports 1.0M 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-V4-Pro-0813 and Ember-1?

Key differences include LLM Stats Score (50.6 vs 43.1), context window (1.0M vs 1.0M), input pricing ($1.30 vs $3.00/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and Ember-1?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Ember-1 is developed by Fireworks AI.

DeepSeek-V4-Pro-0813 vs Ember-1