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GPT-4.1 vs Llama 4 Maverick (Together AI): API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for GPT-4.1 (OpenAI) and Llama 4 Maverick (Together AI) (Together AI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Mar 8, 2026

Interactive Cost Calculator

OpenAIGPT-4.1Together AILlama 4 Maverick (Together AI)

Fills in typical token counts for a workload type

Tokens in each prompt sent to the model

Tokens generated in each response

Total API calls per month

Showing costs for 2 models. Cheapest: Llama 4 Maverick (Together AI) at $6.95/month.

Cheapest: Llama 4 Maverick (Together AI) at $6.95/mo — save 88.4% vs GPT-4.1
Alert
BestLlama 4 Maverick (Together AI)
Together AI$6.95$0.000695$2.70$4.2588.4%Alerts coming soon
GPT-4.1
OpenAI$60.00$0.006000$20.00$40.00Alerts coming soon

Monthly Cost Comparison

Price Comparison at a Glance

All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.

Pricing TypeGPT-4.1Llama 4 Maverick (Together AI)Cheaper
Input (standard)$2.00/M$0.27/MLlama 4 Maverick (Together AI)
Output$8.00/M$0.85/MLlama 4 Maverick (Together AI)
Cached input$0.50/MN/A
Batch input$1.00/MN/A
Batch output$4.00/MN/A

Prices last verified: 2026-03-06 – 2026-03-08

Cost Breakdown by Usage Volume

Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.

VolumeGPT-4.1MonthlyLlama 4 Maverick (Together AI)MonthlyGPT-4.1Per requestLlama 4 Maverick (Together AI)Per request
1K requests/mo$6.00$0.70$0.006000$0.000695
10K requests/mo$60.00$6.95$0.006000$0.000695
100K requests/mo$600.00$69.50$0.006000$0.000695
1M requests/mo$6,000.00$695.00$0.006000$0.000695

Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.

Price History

Input price per 1M tokens

When to Choose GPT-4.1

by OpenAI

  • RAG / Semantic search
  • Document summarization
  • Code generation

Input / 1M tokens

$2.00/M

Output / 1M tokens

$8.00/M

Context window

1,047,576

Tier

premium

When to Choose Llama 4 Maverick (Together AI)

by Together AI

  • General chatbot
  • Content & copywriting
  • Code generation

Input / 1M tokens

$0.27/M

Output / 1M tokens

$0.85/M

Context window

131,072

Tier

mid

Key Differences Beyond Price

Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.

CapabilityGPT-4.1Llama 4 Maverick (Together AI)
Context window1,047,576 tokens131,072 tokens
Max output tokens32,768 tokens8,192 tokens
Performance tierPremiumMid
Vision / image inputYesYes
Function callingYesYes
JSON modeYesYes
Prompt cachingYesNo
Batch API (50% discount)YesNo
Extended reasoningNoNo
Fine-tuningNoNo
Rate limit (req/min)10,000Not published

GPT-4.1 notes

1M token context window enables entire codebases in context.

Llama 4 Maverick (Together AI) notes

Llama 4 architecture. Open-source model with vision support.

Frequently Asked Questions

Is GPT-4.1 cheaper than Llama 4 Maverick (Together AI)?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Llama 4 Maverick (Together AI) costs $69.50/month versus $600.00/month for GPT-4.1 — a 88% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.

Which model has a larger context window, GPT-4.1 or Llama 4 Maverick (Together AI)?

GPT-4.1 has a larger context window at 1,047,576 tokens, compared to 131,072 tokens for Llama 4 Maverick (Together AI). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do GPT-4.1 and Llama 4 Maverick (Together AI) support the Batch API?

GPT-4.1 supports the Batch API (50% discount for async processing), while Llama 4 Maverick (Together AI) does not. If your workload tolerates up to 24-hour latency, routing to GPT-4.1 with batch pricing could significantly cut costs versus Llama 4 Maverick (Together AI)'s standard rate.

Which model offers better prompt caching?

GPT-4.1 supports prompt caching at $0.50/M for cached input, while Llama 4 Maverick (Together AI) does not offer prompt caching. For RAG applications or chatbots with large, repeated context, GPT-4.1's caching capability can substantially reduce effective costs.

What are the best use cases for GPT-4.1 vs Llama 4 Maverick (Together AI)?

Both models are well-suited for Code generation. GPT-4.1 is particularly strong for RAG / Semantic search, Document summarization. Llama 4 Maverick (Together AI) is favored for General chatbot, Content & copywriting. At the same quality level, the lower-cost model is usually preferable; use this page's calculator to compare total monthly spend at your volume.

What is the cost per request for GPT-4.1 vs Llama 4 Maverick (Together AI)?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — GPT-4.1 costs $0.006000 per request and Llama 4 Maverick (Together AI) costs $0.000695 per request. At 100,000 requests/month, that translates to $600.00 and $69.50 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

GPT-4.1 vs Llama 4 Maverick (Together AI): Summary

When comparing GPT-4.1 and Llama 4 Maverick (Together AI) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Llama 4 Maverick (Together AI) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $69.50/month, compared to $600.00/month for GPT-4.1.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. GPT-4.1 charges $2.00/M for input tokens and $8.00/M for output tokens. Llama 4 Maverick (Together AI) charges $0.27/M input and $0.85/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.

Prompt caching is supported by GPT-4.1 but not Llama 4 Maverick (Together AI). For workloads with large, repeated system prompts or document context — such as RAG pipelines or multi-turn conversations with a fixed knowledge base — prompt caching can reduce effective input costs by 60–90%, which may change the cost ranking between these two models at your specific usage pattern.

Context window capacity differs between the two: GPT-4.1 supports up to 1,047,576 tokens in a single request, versus 131,072 tokens for Llama 4 Maverick (Together AI). A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.

Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.

Explore other model comparisons from the same providers or performance tiers.

Related Provider Pages

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Relevant Use Cases

See cost recommendations for workloads where GPT-4.1 or Llama 4 Maverick (Together AI) is recommended.