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Llama 3.1 8B Instruct vs Parse

Comparing Llama 3.1 8B Instruct and Parse across benchmarks, pricing, and capabilities.

Meta · Cohere · Updated for 2026

Which is better?

Llama 3.1 8B Instruct and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Llama 3.1 8B Instruct also accepts a larger context window (131,072 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 8B Instruct

  • you process long inputs — it offers a 131,072 token context window
  • you need open weights you can self-host or fine-tune

Choose Parse

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.03 / M
— / M
Output price
$0.03 / M
— / M
Context window
131,072
8,192

Individual benchmarks

18 reported for Llama 3.1 8B Instruct · 1 for Parse

No common benchmarks found

Llama 3.1 8B Instruct and Parsedon'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

5.7B diff

Llama 3.1 8B Instruct has 5.7B more parameters than Parse, making it 247.8% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Cohere
Parse
2.3Bparameters
8.0B
Llama 3.1 8B Instruct
2.3B
Parse

Context Window

Maximum input and output token capacity

Llama 3.1 8B Instruct accepts 131,072 input tokens compared to Parse's 8,192 tokens. Only Llama 3.1 8B Instruct specifies output context (131,072 tokens).

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas Llama 3.1 8B Instruct does not.

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

Llama 3.1 8B Instruct

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 8B Instruct is licensed under Llama 3.1 Community License, while Parse uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 3.1 8B Instruct was released on 2024-07-23, while Parse was released on 2026-08-27.

Parse is 26 months newer than Llama 3.1 8B Instruct.

Llama 3.1 8B Instruct

Jul 23, 2024

2.1 years ago

Parse

Aug 27, 2026

4 days ago

2.1yr newer

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Parse's cutoff date is not specified.

We can confirm Llama 3.1 8B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Parse's cutoff date.

Llama 3.1 8B Instruct

Dec 2023

Parse

Provider Availability

Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock. Parse is available from Azure, Cohere.

Llama 3.1 8B Instruct

lambda logo
Lambda
Input Price:Input: $0.03/1MOutput Price:Output: $0.03/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
groq logo
Groq
Input Price:Input: $0.05/1MOutput Price:Output: $0.08/1M
sambanova logo
Sambanova
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.22/1MOutput Price:Output: $0.22/1M

Parse

azure logo
Azure
cohere logo
Cohere
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Llama 3.1 8B Instruct and Parse side-by-side, then vote on the output you prefer.

Llama 3.1 8B Instruct
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Llama 3.1 8B Instruct vs Parse.

Which is better, Llama 3.1 8B Instruct or Parse?

Llama 3.1 8B Instruct (Meta) and Parse (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Llama 3.1 8B Instruct compare to Parse in benchmarks?

Llama 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Llama 3.1 8B Instruct and Parse?

Llama 3.1 8B Instruct supports 131K tokens and Parse supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.1 8B Instruct and Parse?

Key differences include context window (131K vs 8K), multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 8B Instruct and Parse?

Llama 3.1 8B Instruct is developed by Meta and Parse is developed by Cohere.