GPT-6.1 Sol vs Llama 4 Maverick
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- ▲128 K
- Input, $ per 1M tokens
- $2.00
- Output, $ per 1M tokens
- $10.00
- Cache read, $ per 1M
- $0.100
- Batch (input / output)
- $1.00 / $5.00
- Tool calling
- Yes
- Released
- ▲09/29/2026
- Knowledge cutoff
- 2026-04-30
- API id
- openai/gpt-6.1-sol
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 1 M tokens
- Max output
- 16 K
- Input, $ per 1M tokens
- ▲$0.188
- Output, $ per 1M tokens
- ▲$0.653
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 04/05/2025
- Knowledge cutoff
- 2024-08
- API id
- meta-llama/llama-4-maverick
Which is the better API choice: GPT-6.1 Sol vs Llama 4 Maverick?
- Llama 4 Maverick: cheapest input (91% less than GPT-6.1 Sol)
- Llama 4 Maverick: cheapest output
- GPT-6.1 Sol: largest context (1.1 M)
- GPT-6.1 Sol: the newest (09/29/2026)
- GPT-6.1 Sol: most reasoning (estimated)
Llama 4 Maverick costs 91% less on input and 93% less on output than GPT-6.1 Sol ($0.188 / $0.653 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). On capabilities, GPT-6.1 Sol has a reasoning mode. GPT-6.1 Sol offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Llama 4 Maverick you save $64.58 a month versus GPT-6.1 Sol (92% less).
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- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Llama 4 Maverick Meta$0.014
- 2GPT-6.1 Sol OpenAI$0.152
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
Popular comparisons
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Frequently asked questions
Which is the better API choice: GPT-6.1 Sol vs Llama 4 Maverick?
Llama 4 Maverick costs 91% less on input and 93% less on output than GPT-6.1 Sol ($0.188 / $0.653 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). On capabilities, GPT-6.1 Sol has a reasoning mode. GPT-6.1 Sol offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-6.1 Sol and Llama 4 Maverick?
Llama 4 Maverick is cheaper: $0.188 per million input tokens and $0.653 per million output tokens, versus $2.00 / $10.00 for GPT-6.1 Sol.
Which has more context: GPT-6.1 Sol and Llama 4 Maverick?
GPT-6.1 Sol accepts 1.1 M tokens of context; Llama 4 Maverick accepts 1 M.
Which is newer: GPT-6.1 Sol and Llama 4 Maverick?
GPT-6.1 Sol was released on 09/29/2026; Llama 4 Maverick on 04/05/2025.
What would 10,000 requests a month cost with GPT-6.1 Sol and Llama 4 Maverick?
With 1,500 input and 400 output tokens per request: GPT-6.1 Sol: $70.00; Llama 4 Maverick: $5.42 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.