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Ember-1 vs Mistral Large 3 (675B Instruct 2512 NVFP4)

Ember-1 leads the LLM Stats Score 43.1 to 8.9.

Fireworks AI · Mistral AI · Updated for 2026

Which is better?

Ember-1 leads the overall LLM Stats Score 43.1 to 8.9, ranking #51 overall.

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 want the most recent training data — it shipped Sep 2026

Choose Mistral Large 3 (675B Instruct 2512 NVFP4)

  • 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
8.9
#290
38.6
#71
9.1
#283
37.0
#22
1.3
#246
Cost, coverage & limits
Benchmark wins
—
—
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
1,040,000
—

Individual benchmarks

4 reported for Ember-1 · 5 for Mistral Large 3 (675B Instruct 2512 NVFP4)

No common benchmarks found

Ember-1 and Mistral Large 3 (675B Instruct 2512 NVFP4)don'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

2105.0B diff

Ember-1 has 2105.0B more parameters than Mistral Large 3 (675B Instruct 2512 NVFP4), making it 311.9% larger.

Fireworks AI
Ember-1
2.8Tparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
2780.0B
Ember-1
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)

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
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas Ember-1 does not.

Mistral Large 3 (675B Instruct 2512 NVFP4) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ember-1

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

Ember-1 is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512 NVFP4) 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

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ember-1 was released on 2026-09-23, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

Ember-1 is 10 months newer than Mistral Large 3 (675B Instruct 2512 NVFP4).

Ember-1

Sep 23, 2026

2 weeks ago

9mo newer
Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

10 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 Mistral Large 3 (675B Instruct 2512 NVFP4) side-by-side, then vote on the output you prefer.

Ember-1
✓ Preferred
Mistral Large 3 (675B Instruct 2512 NVFP4)
Open in Playground

FAQ

Common questions about Ember-1 vs Mistral Large 3 (675B Instruct 2512 NVFP4).

Which is better, Ember-1 or Mistral Large 3 (675B Instruct 2512 NVFP4)?

Ember-1 leads the LLM Stats Score 43.1 to 8.9. Ember-1 is made by Fireworks AI and Mistral Large 3 (675B Instruct 2512 NVFP4) is made by Mistral 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 Mistral Large 3 (675B Instruct 2512 NVFP4) 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%. Mistral Large 3 (675B Instruct 2512 NVFP4) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for Ember-1 and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Ember-1 supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Mistral Large 3 (675B Instruct 2512 NVFP4)?

Key differences include LLM Stats Score (43.1 vs 8.9), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Ember-1 and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Ember-1 is developed by Fireworks AI and Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI.