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Llama 3.1 405B Instruct vs Parse

Comparing Llama 3.1 405B Instruct and Parse across benchmarks, pricing, and capabilities.

Meta · Cohere · Updated for 2026

Which is better?

Llama 3.1 405B Instruct and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Llama 3.1 405B Instruct also accepts a larger context window (128,000 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 405B Instruct

  • you process long inputs — it offers a 128,000 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
$0.89 / M
— / M
Output price
$0.89 / M
— / M
Context window
128,000
8,192

Individual benchmarks

18 reported for Llama 3.1 405B Instruct · 1 for Parse

No common benchmarks found

Llama 3.1 405B 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

402.7B diff

Llama 3.1 405B Instruct has 402.7B more parameters than Parse, making it 17508.7% larger.

Meta
Llama 3.1 405B Instruct
405.0Bparameters
Cohere
Parse
2.3Bparameters
405.0B
Llama 3.1 405B Instruct
2.3B
Parse

Context Window

Maximum input and output token capacity

Llama 3.1 405B Instruct accepts 128,000 input tokens compared to Parse's 8,192 tokens. Only Llama 3.1 405B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 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 405B Instruct does not.

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

Llama 3.1 405B Instruct

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 405B 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 405B Instruct

Llama 3.1 Community License

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 3.1 405B Instruct was released on 2024-07-23, while Parse was released on 2026-08-27.

Parse is 26 months newer than Llama 3.1 405B Instruct.

Llama 3.1 405B Instruct

Jul 23, 2024

2.1 years ago

Parse

Aug 27, 2026

3 days ago

2.1yr 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

Provider Availability

Llama 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate. Parse is available from Azure, Cohere.

Llama 3.1 405B Instruct

lambda logo
Lambda
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.79/1MOutput Price:Output: $1.79/1M
fireworks logo
Fireworks
Input Price:Input: $3.00/1MOutput Price:Output: $3.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $3.00/1M
together logo
Together
Input Price:Input: $3.50/1MOutput Price:Output: $3.50/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $4.00/1MOutput Price:Output: $4.00/1M
google logo
Google
Input Price:Input: $5.00/1MOutput Price:Output: $16.00/1M
replicate logo
Replicate
Input Price:Input: $9.50/1MOutput Price:Output: $9.50/1M

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 405B Instruct and Parse side-by-side, then vote on the output you prefer.

Llama 3.1 405B Instruct
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Llama 3.1 405B Instruct vs Parse.

Which is better, Llama 3.1 405B Instruct or Parse?

Llama 3.1 405B 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 405B Instruct compare to Parse in benchmarks?

Llama 3.1 405B Instruct scores ARC-C: 96.9%, GSM8k: 96.8%, API-Bank: 92.0%, Multilingual MGSM (CoT): 91.6%, HumanEval: 89.0%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Llama 3.1 405B Instruct and Parse?

Llama 3.1 405B Instruct supports 128K 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 405B Instruct and Parse?

Key differences include context window (128K 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 405B Instruct and Parse?

Llama 3.1 405B Instruct is developed by Meta and Parse is developed by Cohere.