The AI arena is free today

Open Superagent

Ember-1 vs GPT-4.1

Ember-1 leads the LLM Stats Score 43.6 to 18.0. GPT-4.1 is 1.7x cheaper per token.

Fireworks AI · OpenAI · Updated for 2026

Which is better?

Ember-1 leads the overall LLM Stats Score 43.6 to 18.0, 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, GPT-4.1 is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-4.1 also accepts a larger context window (1,047,576 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 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 want the most recent training data — it shipped Sep 2026

Choose GPT-4.1

  • cost matters — it's about 1.7x cheaper per token
  • you process long inputs — it offers a 1,047,576 token context window

At a glance

The differences that matter most.

Core performance indexes
43.6
#46
18.0
#230
38.6
#70
18.4
#221
38.0
#20
4.9
#217
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$3.00 / M
$2.00 / M
Output price
$15.00 / M
$8.00 / M
Context window
1,040,000
1,047,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ember-1
GPT-4.1
15.9#93
11.4#121
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ember-1 · 29 for GPT-4.1

1 shared

Ember-1 outperforms in 1 benchmarks (SWE-Bench Verified), while GPT-4.1 is better at 0 benchmarks.

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

GPT-4.1 costs less

For input processing, Ember-1 ($3.00/1M tokens) is 1.5x more expensive than GPT-4.1 ($2.00/1M tokens).

For output processing, Ember-1 ($15.00/1M tokens) is 1.9x more expensive than GPT-4.1 ($8.00/1M tokens).

In conclusion, Ember-1 is more expensive than GPT-4.1.*

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

Lowest available price from all providers
Wed Oct 07 2026 • llm-stats.com
Fireworks AI
Ember-1
Input tokens$3.00
Output tokens$15.00
Best providerFireworks
OpenAI
GPT-4.1
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-4.1 accepts 1,047,576 input tokens compared to Ember-1's 1,040,000 tokens. Only GPT-4.1 specifies output context (32,768 tokens).

Fireworks AI
Ember-1
Input1,040,000 tokens
Output- tokens
OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4.1 supports multimodal inputs, whereas Ember-1 does not.

GPT-4.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ember-1

Text
Images
Audio
Video

GPT-4.1

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

GPT-4.1

Proprietary

Closed source

Release Timeline

When each model was launched

Ember-1 was released on 2026-09-23, while GPT-4.1 was released on 2025-04-14.

Ember-1 is 18 months newer than GPT-4.1.

Ember-1

Sep 23, 2026

2 weeks ago

1.4yr newer
GPT-4.1

Apr 14, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while Ember-1's cutoff date is not specified.

We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without Ember-1's cutoff date.

Ember-1

—

GPT-4.1

Jun 2024

Provider Availability

Ember-1 is available from Fireworks. GPT-4.1 is available from OpenAI.

Ember-1

fireworks logo
Fireworks
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

GPT-4.1

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ember-1 and GPT-4.1 side-by-side, then vote on the output you prefer.

Ember-1
✓ Preferred
GPT-4.1
Open in Playground

FAQ

Common questions about Ember-1 vs GPT-4.1.

Which is better, Ember-1 or GPT-4.1?

Ember-1 leads the LLM Stats Score 43.6 to 18.0. Ember-1 is made by Fireworks AI and GPT-4.1 is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ember-1 compare to GPT-4.1 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%. GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%.

Is Ember-1 cheaper than GPT-4.1?

GPT-4.1 is 1.5x cheaper for input tokens. Ember-1 costs $3.00/M input and $15.00/M output via fireworks. GPT-4.1 costs $2.00/M input and $8.00/M output via openai.

What are the context window sizes for Ember-1 and GPT-4.1?

Ember-1 supports 1.0M tokens and GPT-4.1 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 Ember-1 and GPT-4.1?

Key differences include LLM Stats Score (43.6 vs 18.0), context window (1.0M vs 1.0M), input pricing ($3.00 vs $2.00/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Ember-1 and GPT-4.1?

Ember-1 is developed by Fireworks AI and GPT-4.1 is developed by OpenAI.