| Signal | Claude Haiku 4.5 | Delta | Ministral 3 3B 2512 |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 71 | +71 | |
Pricing | 5 | +5 | |
Context window size | 84 | +3 | |
Recency | 100 | -- | |
Output Capacity | 80 | +60 | |
| Overall Result | 5 wins | of 6 | 0 wins |
30
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Anthropic
Mistral AI
Ministral 3 3B 2512 saves you $335.00/month
That's $4020.00/year compared to Claude Haiku 4.5 at your current usage level of 100K calls/month.
| Metric | Claude Haiku 4.5 | Ministral 3 3B 2512 | Winner |
|---|---|---|---|
| Overall Score | 83 | 73 | Claude Haiku 4.5 |
| Rank | #54 | #135 | Claude Haiku 4.5 |
| Quality Rank | #54 | #135 | Claude Haiku 4.5 |
| Adoption Rank | #54 | #135 | Claude Haiku 4.5 |
| Parameters | -- | 3B | -- |
| Context Window | 200K | 131K | Claude Haiku 4.5 |
| Pricing | $1.00/$5.00/M | $0.10/$0.10/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | Claude Haiku 4.5 |
| Benchmarks | 71 | -- | Claude Haiku 4.5 |
| Pricing | 5 | 0 | Claude Haiku 4.5 |
| Context window size | 84 | 81 | Claude Haiku 4.5 |
| Recency | 100 | 100 | Claude Haiku 4.5 |
| Output Capacity | 80 | 20 | Claude Haiku 4.5 |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 83/100 (rank #54), placing it in the top 82% of all 290 models tracked.
Scores 73/100 (rank #135), placing it in the top 54% of all 290 models tracked.
Claude Haiku 4.5 has a 10-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Ministral 3 3B 2512 offers 97% better value per quality point. At 1M tokens/day, you'd spend $3.00/month with Ministral 3 3B 2512 vs $90.00/month with Claude Haiku 4.5 - a $87.00 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Ministral 3 3B 2512 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.10/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (83/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Claude Haiku 4.5 clearly outperforms Ministral 3 3B 2512 with a significant 10.400000000000006-point lead. For most general use cases, Claude Haiku 4.5 is the stronger choice. However, Ministral 3 3B 2512 may still excel in niche scenarios.
Best for Quality
Claude Haiku 4.5
Marginally better benchmark scores; both are excellent
Best for Cost
Ministral 3 3B 2512
97% lower pricing; better value at scale
Best for Reliability
Claude Haiku 4.5
Higher uptime and faster response speeds
Best for Prototyping
Claude Haiku 4.5
Stronger community support and better developer experience
Best for Production
Claude Haiku 4.5
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Haiku 4.5 | Ministral 3 3B 2512 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Mistral AI
Ministral 3 3B 2512 saves you $7.50/month
That's 96% cheaper than Claude Haiku 4.5 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Claude Haiku 4.5 | Ministral 3 3B 2512 |
|---|---|---|
| Context Window | 200K | 131K |
| Max Output Tokens | 64,000 | -- |
| Open Source | No | Yes |
| Created | Oct 15, 2025 | Dec 2, 2025 |
Claude Haiku 4.5 scores 83/100 (rank #54) compared to Ministral 3 3B 2512's 73/100 (rank #135), giving it a 10-point advantage. Claude Haiku 4.5 is the stronger overall choice, though Ministral 3 3B 2512 may excel in specific areas like cost efficiency.
Claude Haiku 4.5 is ranked #54 and Ministral 3 3B 2512 is ranked #135 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Ministral 3 3B 2512 is cheaper at $0.10/M output tokens vs Claude Haiku 4.5's $5.00/M output tokens - 50.0x more expensive. Input token pricing: Claude Haiku 4.5 at $1.00/M vs Ministral 3 3B 2512 at $0.10/M.
Claude Haiku 4.5 has a larger context window of 200,000 tokens compared to Ministral 3 3B 2512's 131,072 tokens. A larger context window means the model can process longer documents and conversations.