Claude Haiku 4.5 (Reseller)

Claude Haiku 4.5 (October 1, 2025 snapshot) via third-party reseller channels with 200K context.

Input price
$0.30
Output price
$1.50
Context
200K
Max output
64K
Modalities
InputTextImagePDFOutputText
142 (#69 of 89)
1397
—
Released
2025-10-16
Knowledge cutoff
2025-02-28
Try in ChatCompare

Providers

Providers that serve this model. With Auto, each request goes to the best available provider. Prices in USD per 1M tokens; stats cover the last 30 days.

Pricing

All prices for this model, by service tier.

Input
$0.30
per 1M tokens
Output
$1.50
per 1M tokens
Cache read
$0.03
per 1M tokens
Cache write (5 min)
$0.375
per 1M tokens

Make a request

Set your provider preferences, then copy the request. It reads your API key from OHMYGPT_API_KEY.

Anthropic Messages supports pinning one provider only. Other preferences work with Chat Completions and Responses.

curl https://api.ohmygpt.com/v1/messages \
  -H "x-api-key: $OHMYGPT_API_KEY" \
  -H "Content-Type: application/json" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "claudecode/claude-haiku-4-5-20251001",
    "max_tokens": 1024,
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'

Similar models

Other models with the same output types at a similar price.

  • Better value: more capable, lower price
  • Pareto frontier
  • Similar models

Capability scores are from Epoch AI’s Epoch Capabilities Index (CC BY 4.0, as of 2026-11-02), which combines dozens of benchmarks with GPT-5 set at 150. epoch.ai/eci

Price: our current input price per 1M tokens in USD, lowest across channels. Dated snapshots and resold copies of the same model are merged into one point; free models are not shown.

Shaded area: capability above and price below the median of all models. Pareto frontier: no other model is both cheaper and more capable.

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$0.30
Output
$1.50
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Human preference ratings are from the LMArena Text Arena (CC BY 4.0, as of 2026-10-28): Elo ratings from blind votes, on a different scale from capability scores. lmarena.ai/leaderboard/text