Model Comparison

GPT-4 Turbo vs Llama 3.1 8B InstructWhich is better in 2026?

GPT-4 Turbo significantly outperforms across most benchmarks. Llama 3.1 8B Instruct is 500.0x cheaper per token.

Verdict: GPT-4 Turbo vs Llama 3.1 8B Instruct — which is better?

GPT-4 Turbo (by OpenAI) and Llama 3.1 8B 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.

GPT-4 Turbo outperforms in 4 benchmarks (DROP, GPQA, HumanEval, MMLU), while Llama 3.1 8B Instruct is better at 0 benchmarks. GPT-4 Turbo significantly outperforms across most benchmarks.

On price, Llama 3.1 8B Instruct is roughly 500.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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.

Choose GPT-4 Turbo if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks

Choose Llama 3.1 8B Instruct if…

  • cost matters — it's about 500.0x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Jul 2024
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-4 Turbo outperforms in 4 benchmarks (DROP, GPQA, HumanEval, MMLU), while Llama 3.1 8B Instruct is better at 0 benchmarks.

GPT-4 Turbo significantly outperforms across most benchmarks.

Tue Jun 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 8B Instruct costs less

For input processing, GPT-4 Turbo ($10.00/1M tokens) is 333.3x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

For output processing, GPT-4 Turbo ($30.00/1M tokens) is 1000.0x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

In conclusion, GPT-4 Turbo is more expensive than Llama 3.1 8B Instruct.*

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

Lowest available price from all providers
Tue Jun 09 2026 • llm-stats.com
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
Meta
Llama 3.1 8B Instruct
Input tokens$0.03
Output tokens$0.03
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Llama 3.1 8B Instruct accepts 131,072 input tokens compared to GPT-4 Turbo's 128,000 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Tue Jun 09 2026 • llm-stats.com

License

Usage and distribution terms

GPT-4 Turbo is licensed under a proprietary license, while Llama 3.1 8B Instruct uses Llama 3.1 Community License.

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

GPT-4 Turbo

Proprietary

Closed source

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Llama 3.1 8B Instruct was released on 2024-07-23.

Llama 3.1 8B Instruct is 4 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.2 years ago

Llama 3.1 8B Instruct

Jul 23, 2024

1.9 years ago

3mo newer

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2023-12-31.

They should have similar awareness of historical events and information up to this date.

GPT-4 Turbo

Dec 2023

Llama 3.1 8B Instruct

Dec 2023

Provider Availability

GPT-4 Turbo is available from Azure, OpenAI. Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock.

GPT-4 Turbo

azure logo
Azure
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Higher DROP score (86.0% vs 59.5%)
Higher GPQA score (48.0% vs 30.4%)
Higher HumanEval score (87.1% vs 72.6%)
Higher MMLU score (86.5% vs 69.4%)
Meta
Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4 Turbo
Meta
Llama 3.1 8B Instruct

FAQ

Common questions about GPT-4 Turbo vs Llama 3.1 8B Instruct.

Which is better, GPT-4 Turbo or Llama 3.1 8B Instruct?

GPT-4 Turbo significantly outperforms across most benchmarks. GPT-4 Turbo is made by OpenAI and Llama 3.1 8B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4 Turbo compare to Llama 3.1 8B Instruct in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. 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%.

Is GPT-4 Turbo cheaper than Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct is 333.3x cheaper for input tokens. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure. Llama 3.1 8B Instruct costs $0.03/M input and $0.03/M output via lambda.

What are the context window sizes for GPT-4 Turbo and Llama 3.1 8B Instruct?

GPT-4 Turbo supports 128K tokens and Llama 3.1 8B 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 GPT-4 Turbo and Llama 3.1 8B Instruct?

Key differences include context window (128K vs 131K), input pricing ($10.00 vs $0.03/M), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and Llama 3.1 8B Instruct?

GPT-4 Turbo is developed by OpenAI and Llama 3.1 8B Instruct is developed by Meta.

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