Side-by-side comparison
Pixtral Large 2411 vs Claude Haiku 4.5
Mistral
Pixtral Large 2411
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$2.0000
Output / 1M
$6.0000
Anthropic
Claude Haiku 4.5
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$1.0000
Output / 1M
$5.0000
| Pixtral Large 2411 | Claude Haiku 4.5 | |
|---|---|---|
| Provider | Mistral | Anthropic |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 200,000 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools, json_mode | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 2.0000 | 1.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 6.0000 | 5.0000 |
Frequently asked questions
Which is cheaper, Pixtral Large 2411 or Claude Haiku 4.5?
Claude Haiku 4.5 is cheaper than Pixtral Large 2411 on a 50/50 input/output blend by about $1 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Pixtral Large 2411 or Claude Haiku 4.5?
Claude Haiku 4.5 has the larger context window at 200k tokens versus 131k tokens for Pixtral Large 2411. That means Claude Haiku 4.5 can ingest about 1.5x as much text per request.
What is the difference between Pixtral Large 2411 and Claude Haiku 4.5?
Pixtral Large 2411 comes from Mistral; Claude Haiku 4.5 comes from Anthropic. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.