Kimi K2 Instruct (Fireworks) vs Llama 3.3 70B (Together AI): API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Kimi K2 Instruct (Fireworks) (Fireworks AI) and Llama 3.3 70B (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 10, 2026
Interactive Cost Calculator
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Showing costs for 2 models. Cheapest: Llama 3.3 70B (Together AI) at $13.20/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestLlama 3.3 70B (Together AI) | Together AI | $13.20 | $0.001320 | $8.80 | $4.40 | 28.6% | Alerts coming soon |
Kimi K2 Instruct (Fireworks) | Fireworks AI | $18.50 | $0.001850 | $6.00 | $12.50 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Kimi K2 Instruct (Fireworks) | Llama 3.3 70B (Together AI) | Cheaper |
|---|---|---|---|
| Input (standard) | $0.60/M | $0.88/M | Kimi K2 Instruct (Fireworks) |
| Output | $2.50/M | $0.88/M | Llama 3.3 70B (Together AI) |
| Cached input | $0.30/M | N/A | — |
| Batch input | $0.30/M | N/A | — |
| Batch output | $1.25/M | N/A | — |
Prices last verified: 2026-03-06 – 2026-03-10
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 | Kimi K2 Instruct (Fireworks)Monthly | Llama 3.3 70B (Together AI)Monthly | Kimi K2 Instruct (Fireworks)Per request | Llama 3.3 70B (Together AI)Per request |
|---|---|---|---|---|
| 1K requests/mo | $1.85 | $1.32 | $0.001850 | $0.001320 |
| 10K requests/mo | $18.50 | $13.20 | $0.001850 | $0.001320 |
| 100K requests/mo | $185.00 | $132.00 | $0.001850 | $0.001320 |
| 1M requests/mo | $1,850.00 | $1,320.00 | $0.001850 | $0.001320 |
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 Kimi K2 Instruct (Fireworks)
by Fireworks AI
- Code generation
- Document summarization
- RAG / Semantic search
Input / 1M tokens
$0.60/M
Output / 1M tokens
$2.50/M
Context window
131,072
Tier
mid
When to Choose Llama 3.3 70B (Together AI)
by Together AI
- General chatbot
- Content & copywriting
- Code generation
Input / 1M tokens
$0.88/M
Output / 1M tokens
$0.88/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.
| Capability | Kimi K2 Instruct (Fireworks) | Llama 3.3 70B (Together AI) |
|---|---|---|
| Context window | 131,072 tokens | 131,072 tokens |
| Max output tokens | 16,384 tokens | 4,096 tokens |
| Performance tier | Mid | Mid |
| Vision / image input | No | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | Yes | No |
| Batch API (50% discount) | Yes | No |
| Extended reasoning | No | No |
| Fine-tuning | No | No |
Kimi K2 Instruct (Fireworks) notes
Fireworks serverless pricing. Cached input 50% discount. Batch at 50% of serverless.
Llama 3.3 70B (Together AI) notes
Open-source Llama model. Pricing equal for input and output. Meta license applies.
Frequently Asked Questions
Is Kimi K2 Instruct (Fireworks) cheaper than Llama 3.3 70B (Together AI)?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Llama 3.3 70B (Together AI) costs $132.00/month versus $185.00/month for Kimi K2 Instruct (Fireworks) — a 29% 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, Kimi K2 Instruct (Fireworks) or Llama 3.3 70B (Together AI)?
Both Kimi K2 Instruct (Fireworks) and Llama 3.3 70B (Together AI) have the same context window: 131,072 tokens.
Do Kimi K2 Instruct (Fireworks) and Llama 3.3 70B (Together AI) support the Batch API?
Kimi K2 Instruct (Fireworks) supports the Batch API (50% discount for async processing), while Llama 3.3 70B (Together AI) does not. If your workload tolerates up to 24-hour latency, routing to Kimi K2 Instruct (Fireworks) with batch pricing could significantly cut costs versus Llama 3.3 70B (Together AI)'s standard rate.
Which model offers better prompt caching?
Kimi K2 Instruct (Fireworks) supports prompt caching at $0.30/M for cached input, while Llama 3.3 70B (Together AI) does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Kimi K2 Instruct (Fireworks)'s caching capability can substantially reduce effective costs.
What are the best use cases for Kimi K2 Instruct (Fireworks) vs Llama 3.3 70B (Together AI)?
Both models are well-suited for Code generation. Kimi K2 Instruct (Fireworks) is particularly strong for Document summarization, RAG / Semantic search. Llama 3.3 70B (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 Kimi K2 Instruct (Fireworks) vs Llama 3.3 70B (Together AI)?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Kimi K2 Instruct (Fireworks) costs $0.001850 per request and Llama 3.3 70B (Together AI) costs $0.001320 per request. At 100,000 requests/month, that translates to $185.00 and $132.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Kimi K2 Instruct (Fireworks) vs Llama 3.3 70B (Together AI): Summary
When comparing Kimi K2 Instruct (Fireworks) and Llama 3.3 70B (Together AI) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Llama 3.3 70B (Together AI) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $132.00/month, compared to $185.00/month for Kimi K2 Instruct (Fireworks).
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Kimi K2 Instruct (Fireworks) charges $0.60/M for input tokens and $2.50/M for output tokens. Llama 3.3 70B (Together AI) charges $0.88/M input and $0.88/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 Kimi K2 Instruct (Fireworks) but not Llama 3.3 70B (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: Both models support 131,072 tokens per request. 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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Relevant Use Cases
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