Llama 3.1 70B Instruct vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 55.4 to 7.8. Muse Spark 1.3 is 1.6x cheaper per token.
Meta · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 55.4 to 7.8, ranking #5 overall.
On price, Muse Spark 1.3 is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.3 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 Llama 3.1 70B Instruct
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.3
- overall performance matters — it scores 55.4 and ranks #5 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 1.6x 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 Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for Llama 3.1 70B Instruct · 11 for Muse Spark 1.3
Llama 3.1 70B Instruct and Muse Spark 1.3don'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, Llama 3.1 70B Instruct ($0.20/1M tokens) is 2.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).
For output processing, Llama 3.1 70B Instruct ($0.20/1M tokens) costs the same as Muse Spark 1.3 ($0.20/1M tokens).
In conclusion, Llama 3.1 70B Instruct is more expensive than Muse Spark 1.3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.3 accepts 1,048,576 input tokens compared to Llama 3.1 70B Instruct's 128,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Llama 3.1 70B Instruct is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas Llama 3.1 70B Instruct does not.
Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 3.1 70B Instruct
Muse Spark 1.3
License
Usage and distribution terms
Llama 3.1 70B Instruct is licensed under Llama 3.1 Community License, while Muse Spark 1.3 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.1 Community License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Llama 3.1 70B Instruct was released on 2024-07-23, while Muse Spark 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 26 months newer than Llama 3.1 70B Instruct.
Jul 23, 2024
2.1 years ago
Sep 2, 2026
0 days ago
2.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova. Muse Spark 1.3 is available from Meta Model API.
Llama 3.1 70B Instruct
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.1 70B Instruct and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.1 70B Instruct vs Muse Spark 1.3.