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GPT-6 Sol vs Llama 4 Maverick

GPT-6 Sol leads the LLM Stats Score 49.4 to 14.7. Llama 4 Maverick is 14.4x cheaper per token.

OpenAI · Meta · Updated for 2026

Which is better?

GPT-6 Sol leads the overall LLM Stats Score 49.4 to 14.7, ranking #21 overall.

On price, Llama 4 Maverick is roughly 14.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6 Sol 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 Sol

  • overall performance matters — it scores 49.4 and ranks #21 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • 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 4 Maverick

  • cost matters — it's about 14.4x 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
49.4
#21
14.7
#240
45.6
#29
14.3
#236
35.8
#25
3.0
#225
Cost, coverage & limits
Benchmark wins
Input price
$2.00 / M
$0.17 / M
Output price
$10.00 / M
$0.60 / M
Context window
1,050,000
1,000,000

Individual benchmarks

5 reported for GPT-6 Sol · 13 for Llama 4 Maverick

No common benchmarks found

GPT-6 Sol and Llama 4 Maverickdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 4 Maverick costs less

For input processing, GPT-6 Sol ($2.00/1M tokens) is 11.8x more expensive than Llama 4 Maverick ($0.17/1M tokens).

For output processing, GPT-6 Sol ($10.00/1M tokens) is 16.7x more expensive than Llama 4 Maverick ($0.60/1M tokens).

In conclusion, GPT-6 Sol is more expensive than Llama 4 Maverick.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
OpenAI
GPT-6 Sol
Input tokens$2.00
Output tokens$10.00
Best providerOpenAI
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-6 Sol accepts 1,050,000 input tokens compared to Llama 4 Maverick's 1,000,000 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while GPT-6 Sol is limited to 128,000 tokens.

OpenAI
GPT-6 Sol
Input1,050,000 tokens
Output128,000 tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Sol and Llama 4 Maverick support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-6 Sol

Text
Images
Audio
Video

Llama 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Sol is licensed under a proprietary license, while Llama 4 Maverick uses Llama 4 Community License Agreement.

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

GPT-6 Sol

Proprietary

Closed source

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

GPT-6 Sol was released on 2026-09-22, while Llama 4 Maverick was released on 2025-04-05.

GPT-6 Sol is 18 months newer than Llama 4 Maverick.

GPT-6 Sol

Sep 22, 2026

0 days ago

1.5yr newer
Llama 4 Maverick

Apr 5, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

GPT-6 Sol has a documented knowledge cutoff of 2026-04-20, while Llama 4 Maverick's cutoff date is not specified.

We can confirm GPT-6 Sol's training data extends to 2026-04-20, but cannot make a direct comparison without Llama 4 Maverick's cutoff date.

GPT-6 Sol

Apr 2026

Llama 4 Maverick

Provider Availability

GPT-6 Sol is available from OpenAI. Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.

GPT-6 Sol

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

Llama 4 Maverick

deepinfra logo
Deepinfra
Input Price:Input: $0.17/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.85/1M
lambda logo
Lambda
Input Price:Input: $0.18/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.88/1M
together logo
Together
Input Price:Input: $0.27/1MOutput Price:Output: $0.85/1M
sambanova logo
Sambanova
Input Price:Input: $0.63/1MOutput Price:Output: $1.79/1M
* 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 Sol and Llama 4 Maverick side-by-side, then vote on the output you prefer.

GPT-6 Sol
✓ Preferred
Llama 4 Maverick
Open in Playground

FAQ

Common questions about GPT-6 Sol vs Llama 4 Maverick.

Which is better, GPT-6 Sol or Llama 4 Maverick?

GPT-6 Sol leads the LLM Stats Score 49.4 to 14.7. GPT-6 Sol is made by OpenAI and Llama 4 Maverick 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 Sol compare to Llama 4 Maverick in benchmarks?

GPT-6 Sol scores DeepSWE 1.1: 68.8%, OSWorld 2.0: 64.4%, Agents' Last Exam: 56.4%, FrontierCode 1.1: 49.3%, AutomationBench v1.0.6: 33.2%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

Is GPT-6 Sol cheaper than Llama 4 Maverick?

Llama 4 Maverick is 11.8x cheaper for input tokens. GPT-6 Sol costs $2.00/M input and $10.00/M output via openai. Llama 4 Maverick costs $0.17/M input and $0.60/M output via deepinfra.

What are the context window sizes for GPT-6 Sol and Llama 4 Maverick?

GPT-6 Sol supports 1.1M tokens and Llama 4 Maverick supports 1.0M 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 Sol and Llama 4 Maverick?

Key differences include LLM Stats Score (49.4 vs 14.7), context window (1.1M vs 1.0M), input pricing ($2.00 vs $0.17/M), licensing (Proprietary vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Sol and Llama 4 Maverick?

GPT-6 Sol is developed by OpenAI and Llama 4 Maverick is developed by Meta.