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Ember-1 vs Gemini 4 Argon

Gemini 4 Argon leads the LLM Stats Score 55.1 to 43.1.

Fireworks AI · Google · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 43.1, ranking #4 overall.

In the 1 individual benchmarks reported for both models, Gemini 4 Argon 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

  • you want predictable pricing at $3.00/M input and $15.00/M output

Choose Gemini 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning — 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

At a glance

The differences that matter most.

Ember-1
Fireworks AI
Gemini 4 Argon
Google
Core performance indexes
LLM Stats Score
43.1
#51
55.1
#4
Reasoning
38.6
#71
52.4
#7
Coding
37.0
#22
44.1
#4
Agents
29.7
#44
40.5
#4
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
1,040,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ember-1
Gemini 4 Argon
Tool use
15.9#94
30.6#6
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ember-1 · 19 for Gemini 4 Argon

1 shared

Ember-1 outperforms in 0 benchmarks, while Gemini 4 Argon is better at 1 benchmark (DeepSWE 1.1).

Gemini 4 Argon significantly outperforms across most benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Google
Gemini 4 Argon
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas Ember-1 does not.

Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ember-1

Text
Images
Audio
Video

Gemini 4 Argon

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Ember-1

Proprietary

Closed source

Gemini 4 Argon

Proprietary

Closed source

Release Timeline

When each model was launched

Ember-1 was released on 2026-09-23, while Gemini 4 Argon was released on 2026-09-30.

Gemini 4 Argon is 0 month newer than Ember-1.

Ember-1

Sep 23, 2026

2 weeks ago

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

1w 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 Ember-1 and Gemini 4 Argon side-by-side, then vote on the output you prefer.

Ember-1
✓ Preferred
Gemini 4 Argon
Open in Playground

FAQ

Common questions about Ember-1 vs Gemini 4 Argon.

Which is better, Ember-1 or Gemini 4 Argon?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 43.1. Ember-1 is made by Fireworks AI and Gemini 4 Argon is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ember-1 compare to Gemini 4 Argon 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%. Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%.

What are the context window sizes for Ember-1 and Gemini 4 Argon?

Ember-1 supports 1.0M tokens and Gemini 4 Argon 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 Gemini 4 Argon?

Key differences include LLM Stats Score (43.1 vs 55.1), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Ember-1 and Gemini 4 Argon?

Ember-1 is developed by Fireworks AI and Gemini 4 Argon is developed by Google.

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