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Llama 3.1 405B Instruct vs Llama 3.3 70B Instruct

Llama 3.1 405B Instruct and Llama 3.3 70B Instruct are closely matched at 14.7 and 13.8 on the LLM Stats Score. Llama 3.3 70B Instruct is 7.1x cheaper per token.

Meta · Meta · Updated for 2026

Which is better?

Llama 3.1 405B Instruct and Llama 3.3 70B Instruct are closely matched on the overall LLM Stats Score at 14.7 and 13.8.

In the 7 individual benchmarks reported for both models, Llama 3.1 405B Instruct wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.3 70B Instruct is roughly 7.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 3.3 70B 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 405B Instruct

  • you value its reported benchmark strengths — it wins 5 of 7 exact shared results

Choose Llama 3.3 70B Instruct

  • cost matters — it's about 7.1x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Dec 2024

At a glance

The differences that matter most.

Core performance indexes
14.7
#233
13.8
#242
13.8
#233
11.7
#251
11.5
#154
9.3
#173
Cost, coverage & limits
Benchmark wins
5 of 7
2 of 7
Input price
$0.89 / M
$0.10 / M
Output price
$0.89 / M
$0.20 / M
Context window
128,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Llama 3.1 405B Instruct
Llama 3.3 70B Instruct
19.3#168
17.5#194
17.7#105
14.0#131
17.7#89
14.0#114
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Llama 3.1 405B Instruct · 9 for Llama 3.3 70B Instruct

7 shared

Llama 3.1 405B Instruct outperforms in 5 benchmarks (GPQA, HumanEval, MBPP EvalPlus, MMLU, MMLU-Pro), while Llama 3.3 70B Instruct is better at 2 benchmarks (IFEval, MATH).

Llama 3.1 405B Instruct shows notably better performance in the majority of benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.3 70B Instruct costs less

For input processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 8.9x more expensive than Llama 3.3 70B Instruct ($0.10/1M tokens).

For output processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 4.5x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

In conclusion, Llama 3.1 405B Instruct is more expensive than Llama 3.3 70B Instruct.*

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

Lowest available price from all providers
Sun Sep 20 2026 • llm-stats.com
Meta
Llama 3.1 405B Instruct
Input tokens$0.89
Output tokens$0.89
Best providerLambda
Meta
Llama 3.3 70B Instruct
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

335.0B diff

Llama 3.1 405B Instruct has 335.0B more parameters than Llama 3.3 70B Instruct, making it 478.6% larger.

Meta
Llama 3.1 405B Instruct
405.0Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
405.0B
Llama 3.1 405B Instruct
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

Llama 3.3 70B Instruct accepts 131,072 input tokens compared to Llama 3.1 405B Instruct's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 131,072 tokens, while Llama 3.1 405B Instruct is limited to 128,000 tokens.

Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 tokens
Meta
Llama 3.3 70B Instruct
Input131,072 tokens
Output131,072 tokens
Sun Sep 20 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 405B Instruct is licensed under Llama 3.1 Community License, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

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

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

Llama 3.1 405B Instruct was released on 2024-07-23, while Llama 3.3 70B Instruct was released on 2024-12-06.

Llama 3.3 70B Instruct is 5 months newer than Llama 3.1 405B Instruct.

Llama 3.1 405B Instruct

Jul 23, 2024

2.2 years ago

Llama 3.3 70B Instruct

Dec 6, 2024

1.8 years ago

4mo 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. Llama 3.3 70B Instruct is available from DeepInfra, Lambda, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.

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

Llama 3.3 70B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.32/1M
lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* 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 Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

Llama 3.1 405B Instruct
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about Llama 3.1 405B Instruct vs Llama 3.3 70B Instruct.

Which is better, Llama 3.1 405B Instruct or Llama 3.3 70B Instruct?

Llama 3.1 405B Instruct and Llama 3.3 70B Instruct are closely matched on the LLM Stats Score at 14.7 and 13.8. Llama 3.1 405B Instruct is made by Meta and Llama 3.3 70B Instruct is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama 3.1 405B Instruct compare to Llama 3.3 70B Instruct 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%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

Is Llama 3.1 405B Instruct cheaper than Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is 8.9x cheaper for input tokens. Llama 3.1 405B Instruct costs $0.89/M input and $0.89/M output via lambda. Llama 3.3 70B Instruct costs $0.10/M input and $0.20/M output via deepinfra.

What are the context window sizes for Llama 3.1 405B Instruct and Llama 3.3 70B Instruct?

Llama 3.1 405B Instruct supports 128K tokens and Llama 3.3 70B Instruct supports 131K 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 Llama 3.3 70B Instruct?

Key differences include LLM Stats Score (14.7 vs 13.8), context window (128K vs 131K), input pricing ($0.89 vs $0.10/M), licensing (Llama 3.1 Community License vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.