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Model comparisons

Claude Haiku 5.5 vs Nemotron 3.5 Super VL

Claude Haiku 5.5 or Nemotron 3.5 Super VL, tier by tier: matched prices, request fields, limits and the content policy measured on each.

Claude Haiku 5.5

Claude Haiku 5.5 is designed for high-volume, cost-sensitive work such as summaries, classification and database queries. The Haiku 5.5 endpoint here accepts 100,000 input tokens and supports streaming, image input and function calls for short operational workflows.

View model details →View sample outputs →

Nemotron 3.5 Super VL

Nemotron 3.5 Super VL is NVIDIA's vision-language model, released on 15 October 2026 with 120B total and 12B active parameters. Here it is one chat endpoint that takes text, images and video, reads up to 262,144 tokens of input, and returns up to 262,144 tokens per reply with tools, streaming and optional reasoning.

View model details →View sample outputs →

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The short answer

Start with the input you have, the result you want and your budget. These are the differences that affect that choice.

  • On the published fields these two sit close together. The tables below list every field where the catalogue records a difference at all.

Compare the published examples, then try the same input on both models with matching settings.

Test scores side by side

The Spicy Index and Freedom Score for both models, from the same daily calculation as the leaderboards.

Test scores side by side
MeasureClaude Haiku 5.5Nemotron 3.5 Super VL
Spicy Index76.476.8
Freedom Score77.8Not yet tested
EvidenceTested 5 of 5 probe types · 24 runs—
Range if the rest pass77.8–77.8—
Price$0.20 per 1M mixed tokens (3 input : 1 output)$0.275 per 1M mixed tokens (3 input : 1 output)
ReviewsRead the Claude Haiku 5.5 reviewRead the Nemotron 3.5 Super VL review

Preliminary · freedom evidence pending

See both on the leaderboard →

Current price

Price at the same setting

A start price answers a different question than the one you have. These are the tiers both models publish, matched setting for setting, in US dollars per billed unit with no conversion step in between.

Swipe horizontally to compare all fields.

Price at the same setting
TierClaude Haiku 5.5Nemotron 3.5 Super VLDifference
Input$0.1 / 1 million tokens$0.2 / 1 million tokensClaude Haiku 5.5 −50%
Cached input$0.01 / 1 million tokens$0.04 / 1 million tokensClaude Haiku 5.5 −75%
Output$0.5 / 1 million tokens$0.5 / 1 million tokensIdentical

What one ordinary job costs

  • Claude Haiku 5.5: $0.2 for one million input and two hundred thousand output tokens.
  • Nemotron 3.5 Super VL: $0.3 for one million input and two hundred thousand output tokens.

Arithmetic on the published rates at each model's own default setting, not a quote. The console prices your actual settings before a request is accepted.

About this comparison

Controls and limits

Every row here is read from the JSON Schema the endpoint validates against, so it matches what the API will really accept rather than a feature list written by hand.

Swipe horizontally to compare all fields.

Claude Haiku 5.5 vs Nemotron 3.5 Super VL
Controls and limitsClaude Haiku 5.5Nemotron 3.5 Super VL
Supported taskschatchat
Input context100,000 tokens262,144 tokens
Maximum output128,000 tokens262,144 tokens
Tool callingYesYes
ExecutionSynchronous, with streamingSynchronous, with streaming
Request timeout60 minutes10 minutes
AvailabilityLiveLive

Can I swap the model ID without changing the request body?

Request body, field by field

The task lifecycle is shared; the body is not. Each endpoint publishes its own JSON Schema and the API validates against that, so this is the list to reconcile before a switch.

  • 8 fields appear in both request bodies under the same names. stop, tools, messages, max_tokens, tool_choice, response_format, reasoning_effort, parallel_tool_calls
  • Claude Haiku 5.5 accepts no field the other one lacks.
  • Only Nemotron 3.5 Super VL accepts: top_p, temperature.
  • Claude Haiku 5.5 requires messages.
  • Nemotron 3.5 Super VL requires messages.
  • Both reject unknown fields outright, so a parameter left over from the other model comes back as a validation error instead of being quietly ignored.

How to choose

How to choose

Maximum output

Nemotron 3.5 Super VL can return more in one reply: up to 262,144 tokens against the other model's ceiling.

Input context

Nemotron 3.5 Super VL takes the longer prompt: up to 262,144 input tokens in a single request.

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Moving from one to the other

The model identifiers are anthropic/claude-haiku-5.5/chat and nvidia/nemotron-3.5-super-vl/chat, and both go in the same field of the same request.

Both return the response on the chat request. With streaming enabled, read the stream until it finishes; there is no media task to poll.

Both use the same submit-and-track flow, but their required inputs may differ. Check each model page before switching.

One key, one balance, one set of spend caps. Both bill to the same account in US dollars, and the per-key daily, monthly and lifetime limits apply to whichever one you call.

Questions developers ask

Which is cheaper, Claude Haiku 5.5 or Nemotron 3.5 Super VL?

Which is cheaper, Claude Haiku 5.5 or Nemotron 3.5 Super VL?

Prices and capabilities shown here come from the current public model catalogue. Check each model page for its latest inputs and examples. Prices may change; check the estimate shown for your actual settings before submitting.

How long can a single request run?

Claude Haiku 5.5 allows 60 minutes per task and Nemotron 3.5 Super VL allows 10. Those are ceilings rather than typical times — most requests finish far sooner — but they are what your own client timeout has to survive.

Prices and capabilities shown here come from the current public model catalogue. Check each model page for its latest inputs and examples.