Claude Haiku 4.5
$586.25 / month- Input cost
- $273.75
- Output cost
- $312.50
- Per 1,000 calls
- $2.345
- Pricing profile
- standard
Source-tracked model comparison
Which has lower API cost for support routing: Claude Haiku 4.5 or Gemini 2.5 Flash-Lite?
Compare verified pricing and model limits for high-volume support routing. The cost example uses a support ticket triage workload and does not assume equal model quality.
Direct cost answer: Claude Haiku 4.5 is estimated at $586.25 per month and Gemini 2.5 Flash-Lite at $52.38 for 1,500 input tokens, 250 output tokens, and 250,000 monthly requests. Gemini 2.5 Flash-Lite is $533.88 lower under these assumptions. This does not identify a quality winner.
Tracked facts
Pricing and model limits
Prices are USD per 1M tokens under each model's verified default profile.
| Field | Claude Haiku 4.5 | Gemini 2.5 Flash-Lite |
|---|---|---|
| Provider | Anthropic | |
| API model ID | claude-haiku-4-5-20251001 | gemini-2.5-flash-lite |
| Input / 1M | $1.00 | $0.10 |
| Cached input / 1M | $0.10 | $0.01 |
| Output / 1M | $5.00 | $0.40 |
| Context window | 200,000 tokens | 1,048,576 tokens |
| Maximum output | 64,000 tokens | 65,536 tokens |
| Accepted input | text, image | text, image, video, audio, pdf |
Example workload
Support ticket triage cost scenario
1,500 input and 250 output tokens per request, 250,000 monthly requests, and 30% cached input.
Gemini 2.5 Flash-Lite
$52.38 / month- Input cost
- $27.38
- Output cost
- $25.00
- Per 1,000 calls
- $0.2095
- Pricing profile
- standard / text
Cost result: Gemini 2.5 Flash-Lite is $533.88 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.
Questions to answer before choosing
- Which model reaches the required routing accuracy?
- How often does the workflow escalate to a larger model?
- Can repeated policies use cached-input pricing?
What this estimate leaves out
This estimate covers generation tokens only and does not assume equal routing accuracy between models.
Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.
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