Model Comparison

Gemini 1.5 Flash vs Llama 3.3 70B InstructWhich is better in 2026?

Llama 3.3 70B Instruct shows notably better performance in the majority of benchmarks. Llama 3.3 70B Instruct is 1.3x cheaper per token.

Verdict: Gemini 1.5 Flash vs Llama 3.3 70B Instruct — which is better?

Gemini 1.5 Flash (by Google) and Llama 3.3 70B Instruct (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 1.5 Flash outperforms in 2 benchmarks (GPQA, MATH), while Llama 3.3 70B Instruct is better at 4 benchmarks (HumanEval, MGSM, MMLU, MMLU-Pro). Llama 3.3 70B Instruct shows notably better performance in the majority of benchmarks.

On price, Llama 3.3 70B Instruct is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.5 Flash if…

  • you process long inputs — it offers a 1,048,576 token context window

Choose Llama 3.3 70B Instruct if…

  • you want the strongest raw capability — it leads on 4 of 6 shared benchmarks
  • cost matters — it's about 1.3x cheaper per token
  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemini 1.5 Flash outperforms in 2 benchmarks (GPQA, MATH), while Llama 3.3 70B Instruct is better at 4 benchmarks (HumanEval, MGSM, MMLU, MMLU-Pro).

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

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.3 70B Instruct costs less

For input processing, Gemini 1.5 Flash ($0.15/1M tokens) is 1.3x cheaper than Llama 3.3 70B Instruct ($0.20/1M tokens).

For output processing, Gemini 1.5 Flash ($0.60/1M tokens) is 3.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

In conclusion, Gemini 1.5 Flash 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
Sat Jun 06 2026 • llm-stats.com
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
Best providerGoogle
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash accepts 1,048,576 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 128,000 tokens, while Gemini 1.5 Flash is limited to 8,192 tokens.

Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

Gemini 1.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Flash

Text
Images
Audio
Video

Llama 3.3 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash is licensed under a proprietary 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.

Gemini 1.5 Flash

Proprietary

Closed source

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash was released on 2024-05-01, while Llama 3.3 70B Instruct was released on 2024-12-06.

Llama 3.3 70B Instruct is 7 months newer than Gemini 1.5 Flash.

Gemini 1.5 Flash

May 1, 2024

2.1 years ago

Llama 3.3 70B Instruct

Dec 6, 2024

1.5 years ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while Llama 3.3 70B Instruct's cutoff date is not specified.

We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without Llama 3.3 70B Instruct's cutoff date.

Gemini 1.5 Flash

Nov 2023

Llama 3.3 70B Instruct

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Provider Availability

Gemini 1.5 Flash is available from Google. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.

Gemini 1.5 Flash

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Llama 3.3 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.23/1MOutput Price:Output: $0.40/1M
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

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Higher GPQA score (51.0% vs 50.5%)
Higher MATH score (77.9% vs 77.0%)
Meta
Less expensive output tokens
Has open weights
Higher HumanEval score (88.4% vs 74.3%)
Higher MGSM score (91.1% vs 82.6%)
Higher MMLU score (86.0% vs 78.9%)
Higher MMLU-Pro score (68.9% vs 67.3%)
GoogleGemini 1.5 Flash
MetaLlama 3.3 70B Instruct
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash
Meta
Llama 3.3 70B Instruct

FAQ

Common questions about Gemini 1.5 Flash vs Llama 3.3 70B Instruct.

Which is better, Gemini 1.5 Flash or Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct shows notably better performance in the majority of benchmarks. Gemini 1.5 Flash is made by Google and Llama 3.3 70B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.5 Flash compare to Llama 3.3 70B Instruct in benchmarks?

Gemini 1.5 Flash scores XSTest: 97.0%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%, MGSM: 82.6%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

Is Gemini 1.5 Flash cheaper than Llama 3.3 70B Instruct?

Gemini 1.5 Flash is 1.3x cheaper for input tokens. Gemini 1.5 Flash costs $0.15/M input and $0.60/M output via google. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda.

What are the context window sizes for Gemini 1.5 Flash and Llama 3.3 70B Instruct?

Gemini 1.5 Flash supports 1.0M tokens and Llama 3.3 70B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.5 Flash and Llama 3.3 70B Instruct?

Key differences include context window (1.0M vs 128K), input pricing ($0.15 vs $0.20/M), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash and Llama 3.3 70B Instruct?

Gemini 1.5 Flash is developed by Google and Llama 3.3 70B Instruct is developed by Meta.

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