Claude Haiku 5.5 (batch) vs Mistral Small 3
| Signal | Claude Haiku 5.5 (batch) | Delta | Mistral Small 3 |
|---|---|---|---|
Capabilities | 100 | +67 | |
Pricing | 100 | 0 | |
Context window size | 95 | +24 | |
Recency | 100 | +85 | |
Output Capacity | 82 | +14 | |
| Overall Result | 4 wins | of 5 | 1 wins |
Score History
58
current score
Claude Haiku 5.5 (batch)
right now
40
current score
Claude Haiku 5.5 (batch)
Anthropic
Mistral Small 3
Mistral AI
Mistral Small 3 saves you $8.50/month
That's $102.00/year compared to Claude Haiku 5.5 (batch) at your current usage level of 100K calls/month.
| Metric | Claude Haiku 5.5 (batch) | Mistral Small 3 | Winner |
|---|---|---|---|
| Overall Score | 58 | 40 | Claude Haiku 5.5 (batch) |
| Rank | #163 | #411 | Claude Haiku 5.5 (batch) |
| Quality Rank | #163 | #411 | Claude Haiku 5.5 (batch) |
| Adoption Rank | #163 | #411 | Claude Haiku 5.5 (batch) |
| Parameters | -- | 24B | -- |
| Context Window | 1000K | 33K | Claude Haiku 5.5 (batch) |
| Pricing | $0.05/$0.25/M | $0.05/$0.08/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 33 | Claude Haiku 5.5 (batch) |
| Pricing | 100 | 100 | Mistral Small 3 |
| Context window size | 95 | 72 | Claude Haiku 5.5 (batch) |
| Recency | 100 | 15 | Claude Haiku 5.5 (batch) |
| Output Capacity | 82 | 67 | Claude Haiku 5.5 (batch) |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 58/100 (rank #163), placing it in the top 44% of all 290 models tracked.
Scores 40/100 (rank #411), placing it in the top -41% of all 290 models tracked.
Claude Haiku 5.5 (batch) has a 18-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Claude Haiku 5.5 (batch) when you need:
- Processing long documents or large codebases (1000K token context)
- Multimodal workflows that require image understanding
- Agentic applications using tool/function calling
- Step-by-step reasoning and chain-of-thought problem solving
Choose Mistral Small 3 when you need:
- High-volume production workloads where API costs must be minimized
- Self-hosted deployments where you need full control over the model
Mistral Small 3 offers 57% better value per quality point. At 1M tokens/day, you'd spend $1.95/month with Mistral Small 3 vs $4.50/month with Claude Haiku 5.5 (batch) - a $2.55 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Mistral Small 3 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.08/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (58/100) 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 5.5 (batch) clearly outperforms Mistral Small 3 with a significant 18-point lead. For most general use cases, Claude Haiku 5.5 (batch) is the stronger choice. However, Mistral Small 3 may still excel in niche scenarios.
By Use Case
Best for Quality
Claude Haiku 5.5 (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 3
57% lower pricing; better value at scale
Best for Reliability
Claude Haiku 5.5 (batch)
Higher uptime and faster response speeds
Best for Prototyping
Claude Haiku 5.5 (batch)
Stronger community support and better developer experience
Best for Production
Claude Haiku 5.5 (batch)
Wider enterprise adoption and proven at scale
by Anthropic
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Claude Haiku 5.5 (batch) | Mistral Small 3 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Claude Haiku 5.5 (batch)
Anthropic
Mistral Small 3
Mistral AI
Mistral Small 3 saves you $0.2040/month
That's 52% cheaper than Claude Haiku 5.5 (batch) 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 5.5 (batch) | Mistral Small 3 |
|---|---|---|
| Context Window | 1M | 33K |
| Max Output Tokens | 128,000 | 16,384 |
| Open Source | No | Yes |
| Created | Oct 7, 2026 | Jan 30, 2025 |