Skip to main content

Claude Haiku 4.5 vs Nemotron Super 49B: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Claude Haiku 4.5 (Anthropic) and Nemotron Super 49B (Nvidia NIM). 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 Haiku 4.5Nvidia NIMNemotron Super 49B

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: Nemotron Super 49B at $3.00/month.

Cheapest: Nemotron Super 49B at $3.00/mo — save 91.4% vs Claude Haiku 4.5
Alert
BestNemotron Super 49B
Nvidia NIM$3.00$0.000300$1.00$2.0091.4%Alerts coming soon
Claude Haiku 4.5
Anthropic$35.00$0.003500$10.00$25.00Alerts 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 Haiku 4.5Nemotron Super 49BCheaper
Input (standard)$1.00/M$0.10/MNemotron Super 49B
Output$5.00/M$0.40/MNemotron Super 49B
Cached input$0.10/MN/A
Batch input$0.50/MN/A
Batch output$2.50/MN/A

Prices last verified: 2026-03-11 – 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 Haiku 4.5MonthlyNemotron Super 49BMonthlyClaude Haiku 4.5Per requestNemotron Super 49BPer request
1K requests/mo$3.50$0.30$0.003500$0.000300
10K requests/mo$35.00$3.00$0.003500$0.000300
100K requests/mo$350.00$30.00$0.003500$0.000300
1M requests/mo$3,500.00$300.00$0.003500$0.000300

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 Haiku 4.5

by Anthropic

  • Customer support
  • Text classification
  • Data extraction

Input / 1M tokens

$1.00/M

Output / 1M tokens

$5.00/M

Context window

200,000

Tier

budget

When to Choose Nemotron Super 49B

by Nvidia NIM

  • General chatbot
  • Content Creation
  • Summarization

Input / 1M tokens

$0.10/M

Output / 1M tokens

$0.40/M

Context window

128,000

Tier

budget

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 Haiku 4.5Nemotron Super 49B
Context window200,000 tokens128,000 tokens
Max output tokens64,000 tokens8,192 tokens
Performance tierBudgetBudget
Vision / image inputYesNo
Function callingYesYes
JSON modeYesYes
Prompt cachingYesNo
Batch API (50% discount)YesNo
Extended reasoningYesNo
Fine-tuningNoNo
Rate limit (req/min)4,000Not published

Claude Haiku 4.5 notes

Improved Haiku with better accuracy. Slightly more expensive than Haiku 3.5.

Nemotron Super 49B notes

Nemotron Super 49B on NVIDIA NIM. Budget-tier foundation model with TensorRT-LLM optimization for high-throughput inference on NVIDIA infrastructure.

Frequently Asked Questions

Is Claude Haiku 4.5 cheaper than Nemotron Super 49B?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Nemotron Super 49B costs $30.00/month versus $350.00/month for Claude Haiku 4.5 — a 91% 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 Haiku 4.5 or Nemotron Super 49B?

Claude Haiku 4.5 has a larger context window at 200,000 tokens, compared to 128,000 tokens for Nemotron Super 49B. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Claude Haiku 4.5 and Nemotron Super 49B support the Batch API?

Claude Haiku 4.5 supports the Batch API (50% discount for async processing), while Nemotron Super 49B does not. If your workload tolerates up to 24-hour latency, routing to Claude Haiku 4.5 with batch pricing could significantly cut costs versus Nemotron Super 49B's standard rate.

Which model offers better prompt caching?

Claude Haiku 4.5 supports prompt caching at $0.10/M for cached input, while Nemotron Super 49B does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Claude Haiku 4.5's caching capability can substantially reduce effective costs.

What are the best use cases for Claude Haiku 4.5 vs Nemotron Super 49B?

Claude Haiku 4.5 is best suited for Customer support, Text classification, Data extraction, while Nemotron Super 49B is optimized for General chatbot, Content Creation, Summarization. Choose based on which use case matches your primary workload — and validate with the cost calculator above to confirm the total monthly spend fits your budget.

What is the cost per request for Claude Haiku 4.5 vs Nemotron Super 49B?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Claude Haiku 4.5 costs $0.003500 per request and Nemotron Super 49B costs $0.000300 per request. At 100,000 requests/month, that translates to $350.00 and $30.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Claude Haiku 4.5 vs Nemotron Super 49B: Summary

When comparing Claude Haiku 4.5 and Nemotron Super 49B for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Nemotron Super 49B offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $30.00/month, compared to $350.00/month for Claude Haiku 4.5.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Claude Haiku 4.5 charges $1.00/M for input tokens and $5.00/M for output tokens. Nemotron Super 49B charges $0.10/M input and $0.40/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 Claude Haiku 4.5 but not Nemotron Super 49B. 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 Haiku 4.5 supports up to 200,000 tokens in a single request, versus 128,000 tokens for Nemotron Super 49B. 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 Haiku 4.5 or Nemotron Super 49B is recommended.