workhorse
Mistral Medium Latest vs Claude Haiku 4 5
Side-by-side pricing, context window, features, and per-use-case verdict. Data sourced from LiteLLM, updated regularly.
Specifications
| Feature | Mistral Medium Latest | Claude Haiku 4 5 |
|---|---|---|
| Provider | mistral | anthropic |
| Model ID | mistral/mistral-medium-latest | claude-haiku-4-5 |
| Input / 1M tokens | $0.40 (60% cheaper) | $1.00 |
| Output / 1M tokens | $2.00 (60% cheaper) | $5.00 |
| Cached input / 1M | — | $0.10 |
| Context window | 131kk tokens | 200kk tokens |
| Max output | 131kk tokens | 64kk tokens |
| Vision | ✅ | ✅ |
| Function calling | ✅ | ✅ |
| Prompt caching | ⬜ | ✅ |
| Web search | ⬜ | ⬜ |
| JSON schema | ✅ | ✅ |
Monthly cost comparison
No cache discount applied — pure token costs at three usage scales.
| Scale | Mistral Medium Latest | Claude Haiku 4 5 | Winner |
|---|---|---|---|
| Small 1M in / 0.2M out | $0.80 | $2.00 | Mistral Medium Latest saves 60% |
| Medium 10M in / 2M out | $8.00 | $20.00 | Mistral Medium Latest saves 60% |
| Large 100M in / 20M out | $80.00 | $200 | Mistral Medium Latest saves 60% |
Category winners
Cheapest input
Mistral Medium Latest
$0.40/M
· 60% less than the other
Cheapest output
Mistral Medium Latest
$2.00/M
· 60% less than the other
Larger context
Claude Haiku 4 5
200kk tokens · 53% larger window
More features
Claude Haiku 4 5
4 / 5 capabilities
Better for…
High-volume RAG & repeated context
$0.10/M cached input — prompt caching makes repeated context retrieval significantly cheaper
Claude Haiku 4 5
Short interactions & high-throughput APIs
$2.00/M output — 60% cheaper on output at scale
Mistral Medium Latest
Long-document processing & large codebases
200k context window vs 131k — 53% larger context
Claude Haiku 4 5
Agentic workflows & tool use
Supports 4 of 5 tracked capabilities (vision, function calling, caching, web search, JSON schema)
Claude Haiku 4 5
Deep-dive on each model
Pricing data sourced from LiteLLM and refreshed regularly. Always verify with each provider's official pricing page before making business decisions.