Claude Haiku 4.5 vs Ministral-3-3B-Reasoning-2512
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Claude Haiku 4.5 | Ministral-3-3B-Reasoning-2512 |
|---|---|---|
| Developer | Anthropic | Mistral AI |
| Family | Claude 4 5 | Ministral 3 3b Reasoning 2512 |
| Model | Claude Haiku 4.5 | Ministral-3-3B-Reasoning-2512 |
| Version | Claude Haiku 4.5 | Ministral-3-3B-Reasoning-2512 |
| Lifecycle | active | active |
| Released | 2025-10-15 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 200,000 | 262,144 |
| Total parameters | Unknown | 4,251,743,232 |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Unknown |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
11 comparable fields · 7 material differences · Pair passes the primary-source comparison gate
Claude Haiku 4.5 Capabilities
Ministral-3-3B-Reasoning-2512 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
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Ministral-3-3B-Instruct-2512Mistral AI | vs | Ministral-3-3B-Reasoning-2512Mistral AI | family variantsimage, text |
Ministral-3-14B-Instruct-2512Mistral AI | vs | Ministral-3-3B-Reasoning-2512Mistral AI | family variantsimage, text |
Ministral-3-3B-Base-2512Mistral AI | vs | Ministral-3-3B-Reasoning-2512Mistral AI | family variantsimage, text |
Claude Fable 5Anthropic | vs | Claude Haiku 4.5Anthropic | family variantsimage, text |
Claude Fable 5.1Anthropic | vs | Claude Haiku 4.5Anthropic | family variantsimage, text |
 Qwen3.8-27BQwen | vs | Ministral-3-3B-Reasoning-2512Mistral AI | cross-developer peersimage, text |
Ministral-3-3B-Reasoning-2512Mistral AI | vs |  GLM-OCRZ.ai | cross-developer peersimage, text |
| vs | Ministral-3-3B-Reasoning-2512Mistral AI | cross-developer peersimage, text | |
Qwen3.5-35B-A3BQwen | vs | Claude Haiku 4.5Anthropic | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs | Ministral-3-14B-Reasoning-2512Mistral AI | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Haiku 4.5 vs Ministral-3-3B-Reasoning-2512 FAQs
Is Claude Haiku 4.5 or Ministral-3-3B-Reasoning-2512 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Haiku 4.5 and Ministral-3-3B-Reasoning-2512, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Haiku 4.5 or Ministral-3-3B-Reasoning-2512?+
Only Claude Haiku 4.5 has a directly sourced input price: $1.00 per million tokens. Only Claude Haiku 4.5 has a directly sourced output price: $5.00 per million tokens.
Which has a larger context window, Claude Haiku 4.5 or Ministral-3-3B-Reasoning-2512?+
Ministral-3-3B-Reasoning-2512 has the larger sourced context window. Claude Haiku 4.5 supports 200,000 and Ministral-3-3B-Reasoning-2512 supports 262,144.
Which performs better in benchmarks, Claude Haiku 4.5 or Ministral-3-3B-Reasoning-2512?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Haiku 4.5 or Ministral-3-3B-Reasoning-2512 be self-hosted?+
Ministral-3-3B-Reasoning-2512 is the only model in this pair currently marked as self-hostable. Claude Haiku 4.5 is not marked open weight; Ministral-3-3B-Reasoning-2512 is open weight.
Can Claude Haiku 4.5 and Ministral-3-3B-Reasoning-2512 understand images?+
Claude Haiku 4.5 is documented with image input; Ministral-3-3B-Reasoning-2512 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Haiku 4.5 or Ministral-3-3B-Reasoning-2512?+
Neither has a larger sourced maximum output. Claude Haiku 4.5 is 64,000 and Ministral-3-3B-Reasoning-2512 is —.
Do Claude Haiku 4.5 and Ministral-3-3B-Reasoning-2512 support reasoning and tool use?+
Claude Haiku 4.5: reasoning, tool calling, and image input. Ministral-3-3B-Reasoning-2512: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Haiku 4.5 or Ministral-3-3B-Reasoning-2512?+
Claude Haiku 4.5 has 1 sourced provider route; Ministral-3-3B-Reasoning-2512 has 0, so Claude Haiku 4.5 has broader tracked availability.
Which offers better value, Claude Haiku 4.5 or Ministral-3-3B-Reasoning-2512?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.