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Claude Haiku 4.5 vs Mistral Large 2

Claude Haiku 4.5 (2025) and Mistral Large 2 (2025) are compact production models from Anthropic and MistralAI. Claude Haiku 4.5 ships a 200k-token context window, while Mistral Large 2 ships a 128K-token context window. On BFCL, Claude Haiku 4.5 leads by 30.3 pts. On pricing, Mistral Large 2 costs $0.48/1M input tokens versus $0.8/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Mistral Large 2 is ~67% cheaper at $0.48/1M; pay for Claude Haiku 4.5 only for coding workflow support.

Specs

Released2025-10-012025-11-25
Context window200k128K
Parameters123B
Architecturedecoder onlydecoder only
LicenseProprietaryTrue
Knowledge cutoff2025-022025-07

Pricing and availability

Claude Haiku 4.5Mistral Large 2
Input price$0.8/1M tokens$0.48/1M tokens
Output price$4/1M tokens$2.4/1M tokens
Providers

Capabilities

Claude Haiku 4.5Mistral Large 2
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

BenchmarkClaude Haiku 4.5Mistral Large 2
BFCL68.738.4

Deep dive

On shared benchmark coverage, BFCL has Claude Haiku 4.5 at 68.7 and Mistral Large 2 at 38.4, with Claude Haiku 4.5 ahead by 30.3 points. The largest visible gap is 30.3 points on BFCL, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on code execution: Claude Haiku 4.5. Both models share vision, multimodal input, function calling, and tool use, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Claude Haiku 4.5 lists $0.8/1M input and $4/1M output tokens, while Mistral Large 2 lists $0.48/1M input and $2.4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Large 2 lower by about $0.7 per million blended tokens. Availability is 8 providers versus 4, so concentration risk also matters.

Choose Claude Haiku 4.5 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Mistral Large 2 when vision-heavy evaluation and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, Claude Haiku 4.5 or Mistral Large 2?

Claude Haiku 4.5 supports 200k tokens, while Mistral Large 2 supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Claude Haiku 4.5 or Mistral Large 2?

Mistral Large 2 is cheaper on tracked token pricing. Claude Haiku 4.5 costs $0.8/1M input and $4/1M output tokens. Mistral Large 2 costs $0.48/1M input and $2.4/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude Haiku 4.5 or Mistral Large 2 open source?

Claude Haiku 4.5 is listed under Proprietary. Mistral Large 2 is listed under True. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Claude Haiku 4.5 or Mistral Large 2?

Both Claude Haiku 4.5 and Mistral Large 2 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for multimodal input, Claude Haiku 4.5 or Mistral Large 2?

Both Claude Haiku 4.5 and Mistral Large 2 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Claude Haiku 4.5 and Mistral Large 2?

Claude Haiku 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, AWS Bedrock, and GCP Vertex AI. Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.