GPT-3.5 Turbo vs Muse Ember
Muse Ember leads the LLM Stats Score 45.9 to -9.9. Muse Ember is 3.8x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
Muse Ember leads the overall LLM Stats Score 45.9 to -9.9, ranking #47 overall.
On price, Muse Ember is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Ember 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 GPT-3.5 Turbo
- you want predictable pricing at $0.50/M input and $1.50/M output
Choose Muse Ember
- overall performance matters — it scores 45.9 and ranks #47 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 3.8x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for GPT-3.5 Turbo · 6 for Muse Ember
GPT-3.5 Turbo and Muse Emberdon'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
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 5.0x more expensive than Muse Ember ($0.10/1M tokens).
For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 3.0x more expensive than Muse Ember ($0.50/1M tokens).
In conclusion, GPT-3.5 Turbo is more expensive than Muse Ember.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Ember accepts 1,048,576 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Muse Ember can generate longer responses up to 524,288 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
Muse Ember supports multimodal inputs, whereas GPT-3.5 Turbo does not.
Muse Ember can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-3.5 Turbo
Muse Ember
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-3.5 Turbo was released on 2023-03-21, while Muse Ember was released on 2026-11-09.
Muse Ember is 44 months newer than GPT-3.5 Turbo.
Mar 21, 2023
3.6 years ago
Nov 9, 2026
3 days ago
3.6yr newerKnowledge Cutoff
When training data ends
GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Muse Ember's cutoff date is not specified.
We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Muse Ember's cutoff date.
Sep 2021
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Provider Availability
GPT-3.5 Turbo is available from Azure, OpenAI. Muse Ember is available from Meta Model API.
GPT-3.5 Turbo
Muse Ember
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-3.5 Turbo and Muse Ember side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-3.5 Turbo vs Muse Ember.