Llama 3.1 405B (Together AI) vs o3-mini: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Llama 3.1 405B (Together AI) (Together AI) and o3-mini (OpenAI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Mar 6, 2026
Interactive Cost Calculator
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Showing costs for 2 models. Cheapest: o3-mini at $33.00/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
Besto3-mini | OpenAI | $33.00 | $0.003300 | $11.00 | $22.00 | 37.1% | Alerts coming soon |
Llama 3.1 405B (Together AI) | Together AI | $52.50 | $0.005250 | $35.00 | $17.50 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Llama 3.1 405B (Together AI) | o3-mini | Cheaper |
|---|---|---|---|
| Input (standard) | $3.50/M | $1.10/M | o3-mini |
| Output | $3.50/M | $4.40/M | Llama 3.1 405B (Together AI) |
| Cached input | N/A | $0.55/M | — |
Prices last verified: 2026-03-06
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.
| Volume | Llama 3.1 405B (Together AI)Monthly | o3-miniMonthly | Llama 3.1 405B (Together AI)Per request | o3-miniPer request |
|---|---|---|---|---|
| 1K requests/mo | $5.25 | $3.30 | $0.005250 | $0.003300 |
| 10K requests/mo | $52.50 | $33.00 | $0.005250 | $0.003300 |
| 100K requests/mo | $525.00 | $330.00 | $0.005250 | $0.003300 |
| 1M requests/mo | $5,250.00 | $3,300.00 | $0.005250 | $0.003300 |
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 tokensWhen to Choose Llama 3.1 405B (Together AI)
by Together AI
- Code generation
- Content & copywriting
- Document summarization
Input / 1M tokens
$3.50/M
Output / 1M tokens
$3.50/M
Context window
131,072
Tier
premium
When to Choose o3-mini
by OpenAI
- Code generation
- Data extraction
Input / 1M tokens
$1.10/M
Output / 1M tokens
$4.40/M
Context window
200,000
Tier
reasoning
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.
| Capability | Llama 3.1 405B (Together AI) | o3-mini |
|---|---|---|
| Context window | 131,072 tokens | 200,000 tokens |
| Max output tokens | 4,096 tokens | 100,000 tokens |
| Performance tier | Premium | Reasoning |
| Vision / image input | No | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | Yes |
| Batch API (50% discount) | No | No |
| Extended reasoning | No | Yes |
| Fine-tuning | No | No |
| Rate limit (req/min) | Not published | 1,000 |
Llama 3.1 405B (Together AI) notes
Largest open-source model available via API. Meta license allows commercial use.
o3-mini notes
Configurable reasoning effort (low/medium/high). No vision support.
Frequently Asked Questions
Is Llama 3.1 405B (Together AI) cheaper than o3-mini?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), o3-mini costs $330.00/month versus $525.00/month for Llama 3.1 405B (Together AI) — a 37% 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, Llama 3.1 405B (Together AI) or o3-mini?
o3-mini has a larger context window at 200,000 tokens, compared to 131,072 tokens for Llama 3.1 405B (Together AI). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Llama 3.1 405B (Together AI) and o3-mini support the Batch API?
Neither Llama 3.1 405B (Together AI) nor o3-mini currently supports a batch API with discounted pricing. For batch-eligible alternatives, consider models from OpenAI, Anthropic, or Google that include batch API support.
Which model offers better prompt caching?
o3-mini supports prompt caching at $0.55/M for cached input, while Llama 3.1 405B (Together AI) does not offer prompt caching. For RAG applications or chatbots with large, repeated context, o3-mini's caching capability can substantially reduce effective costs.
What are the best use cases for Llama 3.1 405B (Together AI) vs o3-mini?
Both models are well-suited for Code generation. Llama 3.1 405B (Together AI) is particularly strong for Content & copywriting, Document summarization. o3-mini is favored for Data extraction. 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 Llama 3.1 405B (Together AI) vs o3-mini?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Llama 3.1 405B (Together AI) costs $0.005250 per request and o3-mini costs $0.003300 per request. At 100,000 requests/month, that translates to $525.00 and $330.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Llama 3.1 405B (Together AI) vs o3-mini: Summary
When comparing Llama 3.1 405B (Together AI) and o3-mini for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. o3-mini offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $330.00/month, compared to $525.00/month for Llama 3.1 405B (Together AI).
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Llama 3.1 405B (Together AI) charges $3.50/M for input tokens and $3.50/M for output tokens. o3-mini charges $1.10/M input and $4.40/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 o3-mini but not Llama 3.1 405B (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: o3-mini supports up to 200,000 tokens in a single request, versus 131,072 tokens for Llama 3.1 405B (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.
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