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Llama 3.2 90B Instruct vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct leads the LLM Stats Score 13.8 to 5.2. Llama 3.3 70B Instruct is 2.9x cheaper per token.

Meta · Meta · Updated for 2026

Which is better?

Llama 3.3 70B Instruct leads the overall LLM Stats Score 13.8 to 5.2, ranking #257 overall.

In the 4 individual benchmarks reported for both models, Llama 3.3 70B Instruct wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.3 70B Instruct is roughly 2.9x 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 3.2 90B Instruct

  • you want predictable pricing at $0.35/M input and $0.40/M output

Choose Llama 3.3 70B Instruct

  • overall performance matters — it scores 13.8 and ranks #257 on LLM Stats
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • cost matters — it's about 2.9x 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
5.2
#313
13.8
#257
6.7
#301
11.7
#267
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
$0.35 / M
$0.10 / M
Output price
$0.40 / M
$0.20 / M
Context window
128,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Llama 3.2 90B Instruct
Llama 3.3 70B Instruct
11.6#244
17.5#199
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Llama 3.2 90B Instruct · 9 for Llama 3.3 70B Instruct

4 shared

Llama 3.2 90B Instruct outperforms in 0 benchmarks, while Llama 3.3 70B Instruct is better at 3 benchmarks (GPQA, MATH, MGSM).

Llama 3.3 70B Instruct shows notably better performance in the majority of benchmarks.

Thu Oct 08 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 3.2 90B Instruct ($0.35/1M tokens) is 3.5x more expensive than Llama 3.3 70B Instruct ($0.10/1M tokens).

For output processing, Llama 3.2 90B Instruct ($0.40/1M tokens) is 2.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

In conclusion, Llama 3.2 90B 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
Thu Oct 08 2026 • llm-stats.com
Meta
Llama 3.2 90B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
Meta
Llama 3.3 70B Instruct
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

20.0B diff

Llama 3.2 90B Instruct has 20.0B more parameters than Llama 3.3 70B Instruct, making it 28.6% larger.

Meta
Llama 3.2 90B Instruct
90.0Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
90.0B
Llama 3.2 90B 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 3.2 90B Instruct's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 131,072 tokens, while Llama 3.2 90B Instruct is limited to 128,000 tokens.

Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Meta
Llama 3.3 70B Instruct
Input131,072 tokens
Output131,072 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Llama 3.2 90B Instruct supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

Llama 3.2 90B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.2 90B Instruct

Text
Images
Audio
Video

Llama 3.3 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 90B Instruct is licensed under Llama 3.2, 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 3.2 90B Instruct

Llama 3.2

Open weights

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

Llama 3.2 90B Instruct was released on 2024-09-25, while Llama 3.3 70B Instruct was released on 2024-12-06.

Llama 3.3 70B Instruct is 2 months newer than Llama 3.2 90B Instruct.

Llama 3.2 90B Instruct

Sep 25, 2024

2.0 years ago

Llama 3.3 70B Instruct

Dec 6, 2024

1.8 years ago

2mo 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 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic. Llama 3.3 70B Instruct is available from DeepInfra, Lambda, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.

Llama 3.2 90B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

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?

Judge for yourself.

Run your own prompts against Llama 3.2 90B Instruct and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

Llama 3.2 90B Instruct
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about Llama 3.2 90B Instruct vs Llama 3.3 70B Instruct.

Which is better, Llama 3.2 90B Instruct or Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct leads the LLM Stats Score 13.8 to 5.2. Llama 3.2 90B 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 3.2 90B Instruct compare to Llama 3.3 70B Instruct in benchmarks?

Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

Is Llama 3.2 90B Instruct cheaper than Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is 3.5x cheaper for input tokens. Llama 3.2 90B Instruct costs $0.35/M input and $0.40/M output via deepinfra. 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 3.2 90B Instruct and Llama 3.3 70B Instruct?

Llama 3.2 90B 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 3.2 90B Instruct and Llama 3.3 70B Instruct?

Key differences include LLM Stats Score (5.2 vs 13.8), context window (128K vs 131K), input pricing ($0.35 vs $0.10/M), multimodal support (yes vs no), licensing (Llama 3.2 vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.