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Claude Opus 4.1 vs Kimi K2 Instruct (Fireworks): API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Claude Opus 4.1 (Anthropic) and Kimi K2 Instruct (Fireworks) (Fireworks AI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Mar 24, 2026

Interactive Cost Calculator

AnthropicClaude Opus 4.1Fireworks AIKimi K2 Instruct (Fireworks)

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: Kimi K2 Instruct (Fireworks) at $18.50/month.

Cheapest: Kimi K2 Instruct (Fireworks) at $18.50/mo — save 96.5% vs Claude Opus 4.1
Alert
BestKimi K2 Instruct (Fireworks)
Fireworks AI$18.50$0.001850$6.00$12.5096.5%Alerts coming soon
Claude Opus 4.1
Anthropic$525.00$0.052500$150.00$375.00Alerts 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 TypeClaude Opus 4.1Kimi K2 Instruct (Fireworks)Cheaper
Input (standard)$15.00/M$0.60/MKimi K2 Instruct (Fireworks)
Output$75.00/M$2.50/MKimi K2 Instruct (Fireworks)
Cached input$1.50/M$0.30/MKimi K2 Instruct (Fireworks)
Batch input$7.50/M$0.30/MKimi K2 Instruct (Fireworks)
Batch output$37.50/M$1.25/MKimi K2 Instruct (Fireworks)

Prices last verified: 2026-03-10 – 2026-03-24

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.

VolumeClaude Opus 4.1MonthlyKimi K2 Instruct (Fireworks)MonthlyClaude Opus 4.1Per requestKimi K2 Instruct (Fireworks)Per request
1K requests/mo$52.50$1.85$0.052500$0.001850
10K requests/mo$525.00$18.50$0.052500$0.001850
100K requests/mo$5,250.00$185.00$0.052500$0.001850
1M requests/mo$52,500.00$1,850.00$0.052500$0.001850

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 Claude Opus 4.1

by Anthropic

  • Code generation
  • Document summarization

Input / 1M tokens

$15.00/M

Output / 1M tokens

$75.00/M

Context window

200,000

Tier

premium

When 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

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.

CapabilityClaude Opus 4.1Kimi K2 Instruct (Fireworks)
Context window200,000 tokens131,072 tokens
Max output tokens32,000 tokens16,384 tokens
Performance tierPremiumMid
Vision / image inputYesNo
Function callingYesYes
JSON modeYesYes
Prompt cachingYesYes
Batch API (50% discount)YesYes
Extended reasoningYesNo
Fine-tuningNoNo
Rate limit (req/min)4,000Not published

Claude Opus 4.1 notes

Premium pricing. Consider Opus 4.5/4.6 for better price-performance ratio.

Kimi K2 Instruct (Fireworks) notes

Fireworks serverless pricing. Cached input 50% discount. Batch at 50% of serverless.

Frequently Asked Questions

Is Claude Opus 4.1 cheaper than Kimi K2 Instruct (Fireworks)?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Kimi K2 Instruct (Fireworks) costs $185.00/month versus $5,250.00/month for Claude Opus 4.1 — a 96% 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, Claude Opus 4.1 or Kimi K2 Instruct (Fireworks)?

Claude Opus 4.1 has a larger context window at 200,000 tokens, compared to 131,072 tokens for Kimi K2 Instruct (Fireworks). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Claude Opus 4.1 and Kimi K2 Instruct (Fireworks) support the Batch API?

Yes — both Claude Opus 4.1 and Kimi K2 Instruct (Fireworks) support batch API processing, which offers a 50% discount on input and output costs in exchange for up to 24-hour turnaround. Ideal for offline workloads like bulk document processing or nightly classification pipelines.

Which model offers better prompt caching?

Both Claude Opus 4.1 and Kimi K2 Instruct (Fireworks) support prompt caching. Claude Opus 4.1 caches repeated input at $1.50/M (vs $15.00/M standard), while Kimi K2 Instruct (Fireworks) caches at $0.30/M (vs $0.60/M standard). For workloads with large, repeated system prompts or document context, caching can reduce effective input costs by 60–90%.

What are the best use cases for Claude Opus 4.1 vs Kimi K2 Instruct (Fireworks)?

Both models are well-suited for Code generation, Document summarization. Claude Opus 4.1 is particularly strong for overlapping tasks. Kimi K2 Instruct (Fireworks) is favored for RAG / Semantic search. 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 Claude Opus 4.1 vs Kimi K2 Instruct (Fireworks)?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Claude Opus 4.1 costs $0.052500 per request and Kimi K2 Instruct (Fireworks) costs $0.001850 per request. At 100,000 requests/month, that translates to $5,250.00 and $185.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Claude Opus 4.1 vs Kimi K2 Instruct (Fireworks): Summary

When comparing Claude Opus 4.1 and Kimi K2 Instruct (Fireworks) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Kimi K2 Instruct (Fireworks) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $185.00/month, compared to $5,250.00/month for Claude Opus 4.1.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Claude Opus 4.1 charges $15.00/M for input tokens and $75.00/M for output tokens. Kimi K2 Instruct (Fireworks) charges $0.60/M input and $2.50/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 both models. 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: Claude Opus 4.1 supports up to 200,000 tokens in a single request, versus 131,072 tokens for Kimi K2 Instruct (Fireworks). 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

View complete pricing tables and model lineups for the providers behind these models.

Relevant Use Cases

See cost recommendations for workloads where Claude Opus 4.1 or Kimi K2 Instruct (Fireworks) is recommended.