Claude Haiku 4.5 vs Mistral Large 3 675B Instruct
Claude Haiku 4.5 (2025) and Mistral Large 3 675B Instruct (2025) are compact production models from Anthropic and MistralAI. Claude Haiku 4.5 ships a 200k-token context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On pricing, Mistral Large 3 675B Instruct costs $0.50/1M input tokens versus $0.80/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Large 3 675B Instruct is ~60% cheaper at $0.50/1M; pay for Claude Haiku 4.5 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Claude Haiku 4.5 | Mistral Large 3 675B Instruct |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 200k | 128k |
| Cheapest output | $4/1M tokens | $1.50/1M tokens |
| Provider routes | 8 tracked | 5 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Claude Haiku 4.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Claude Haiku 4.5 has broader tracked provider coverage for fallback and procurement flexibility.
- Claude Haiku 4.5 uniquely exposes Function calling, Tool use, and Code execution in local model data.
- Local decision data tags Claude Haiku 4.5 for Coding, RAG, and Agents.
- Mistral Large 3 675B Instruct has the lower cheapest tracked output price at $1.50/1M tokens.
- Local decision data tags Mistral Large 3 675B Instruct for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Claude Haiku 4.5
$1,640
Cheapest tracked route/tier: AWS Bedrock
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $865. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock, Microsoft Foundry, and Vercel AI Gateway; start route-level A/B tests there.
- Mistral Large 3 675B Instruct is $2.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling, Tool use, and Code execution before moving production traffic.
- Provider overlap exists on Microsoft Foundry, AWS Bedrock, and Vercel AI Gateway; start route-level A/B tests there.
- Claude Haiku 4.5 is $2.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Claude Haiku 4.5 adds Function calling, Tool use, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2025-12-01 |
| Context window | 200k | 128k |
| Parameters | — | 675B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Mistral License |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Non-commercial only |
| Knowledge cutoff | 2025-02 | 2024-11 |
Pricing and availability
| Pricing attribute | Claude Haiku 4.5 | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.80/1M tokens | $0.50/1M tokens |
| Output price | $4/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Claude Haiku 4.5 | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Claude Haiku 4.5, tool use: Claude Haiku 4.5, and code execution: Claude Haiku 4.5. Both models share vision, multimodal input, and structured outputs, 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 $0.80/1M input and $4/1M output tokens on the cheapest tracked provider, while Mistral Large 3 675B Instruct lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Large 3 675B Instruct lower by about $0.96 per million blended tokens. Availability is 8 providers versus 5, 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 3 675B Instruct 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 3 675B Instruct?
Claude Haiku 4.5 supports 200k tokens, while Mistral Large 3 675B Instruct 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 3 675B Instruct?
Mistral Large 3 675B Instruct is cheaper on tracked token pricing. Claude Haiku 4.5 costs $0.80/1M input and $4/1M output tokens. Mistral Large 3 675B Instruct costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude Haiku 4.5 or Mistral Large 3 675B Instruct open source?
Claude Haiku 4.5 is listed under Proprietary. Mistral Large 3 675B Instruct is listed under Mistral License. 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 3 675B Instruct?
Both Claude Haiku 4.5 and Mistral Large 3 675B Instruct 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 3 675B Instruct?
Both Claude Haiku 4.5 and Mistral Large 3 675B Instruct 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 3 675B Instruct?
Claude Haiku 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, AWS Bedrock, and GCP Vertex AI. Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, Mistral AI Studio, Microsoft Foundry, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.