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GPT-6 Astra vs Llama 3.1 8B Instruct

GPT-6 Astra leads the LLM Stats Score 60.7 to -2.5. Llama 3.1 8B Instruct is 666.7x cheaper per token.

OpenAI · Meta · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to -2.5, ranking #1 overall.

In the 1 individual benchmarks reported for both models, GPT-6 Astra wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.1 8B Instruct is roughly 666.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6 Astra also accepts a larger context window (1,050,000 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 GPT-6 Astra

  • overall performance matters — it scores 60.7 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Llama 3.1 8B Instruct

  • cost matters — it's about 666.7x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
60.7
#1
-2.5
#327
58.7
#1
-3.5
#325
49.0
#1
-2.2
#240
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$10.00 / M
$0.03 / M
Output price
$50.00 / M
$0.03 / M
Context window
1,050,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-6 Astra
Llama 3.1 8B Instruct
35.3#42
-2.1#302
36.6#1
17.0#76
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 18 for Llama 3.1 8B Instruct

1 shared

GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Llama 3.1 8B Instruct is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.1 8B Instruct costs less

For input processing, GPT-6 Astra ($10.00/1M tokens) is 333.3x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

For output processing, GPT-6 Astra ($50.00/1M tokens) is 1666.7x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

In conclusion, GPT-6 Astra 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
Fri Sep 04 2026 • llm-stats.com
OpenAI
GPT-6 Astra
Input tokens$10.00
Output tokens$50.00
Best providerOpenAI
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

GPT-6 Astra accepts 1,050,000 input tokens compared to Llama 3.1 8B Instruct's 131,072 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while GPT-6 Astra is limited to 128,000 tokens.

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas Llama 3.1 8B Instruct does not.

GPT-6 Astra can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Astra

Text
Images
Audio
Video

Llama 3.1 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra 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-6 Astra

Proprietary

Closed source

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-03, while Llama 3.1 8B Instruct was released on 2024-07-23.

GPT-6 Astra is 26 months newer than Llama 3.1 8B Instruct.

GPT-6 Astra

Sep 3, 2026

0 days ago

2.1yr newer
Llama 3.1 8B Instruct

Jul 23, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a knowledge cutoff of 2026-04-30, while Llama 3.1 8B Instruct has a cutoff of 2023-12-31.

GPT-6 Astra has more recent training data (up to 2026-04-30), making it potentially better informed about events through that date compared to Llama 3.1 8B Instruct (2023-12-31).

GPT-6 Astra

Apr 2026

2.3 yr newer
Llama 3.1 8B Instruct

Dec 2023

Provider Availability

GPT-6 Astra is available from OpenAI. Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock.

GPT-6 Astra

openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $50.00/1M

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

Judge for yourself.

Run your own prompts against GPT-6 Astra and Llama 3.1 8B Instruct side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
Llama 3.1 8B Instruct
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Llama 3.1 8B Instruct.

Which is better, GPT-6 Astra or Llama 3.1 8B Instruct?

GPT-6 Astra leads the LLM Stats Score 60.7 to -2.5. GPT-6 Astra is made by OpenAI and Llama 3.1 8B 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 GPT-6 Astra compare to Llama 3.1 8B Instruct in benchmarks?

GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%. 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-6 Astra cheaper than Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct is 333.3x cheaper for input tokens. GPT-6 Astra costs $10.00/M input and $50.00/M output via openai. 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-6 Astra and Llama 3.1 8B Instruct?

GPT-6 Astra supports 1.1M 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-6 Astra and Llama 3.1 8B Instruct?

Key differences include LLM Stats Score (60.7 vs -2.5), context window (1.1M vs 131K), input pricing ($10.00 vs $0.03/M), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and Llama 3.1 8B Instruct?

GPT-6 Astra is developed by OpenAI and Llama 3.1 8B Instruct is developed by Meta.