Claude Haiku 5.5 (batch) vs Mistral Large 3 2512 (batch)
| Signal | Claude Haiku 5.5 (batch) | Delta | Mistral Large 3 2512 (batch) |
|---|---|---|---|
Capabilities | 100 | +33 | |
Pricing | 100 | +1 | |
Context window size | 95 | +9 | |
Recency | 100 | +25 | |
Output Capacity | 82 | -3 | |
Benchmarks | 0 | -68 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
58
current score
Mistral Large 3 2512 (batch)
right now
67
current score
Claude Haiku 5.5 (batch)
Anthropic
Mistral Large 3 2512 (batch)
Mistral AI
Claude Haiku 5.5 (batch) saves you $45.00/month
That's $540.00/year compared to Mistral Large 3 2512 (batch) at your current usage level of 100K calls/month.
| Metric | Claude Haiku 5.5 (batch) | Mistral Large 3 2512 (batch) | Winner |
|---|---|---|---|
| Overall Score | 58 | 67 | Mistral Large 3 2512 (batch) |
| Rank | #218 | #184 | Mistral Large 3 2512 (batch) |
| Quality Rank | #218 | #184 | Mistral Large 3 2512 (batch) |
| Adoption Rank | #218 | #184 | Mistral Large 3 2512 (batch) |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 262K | Claude Haiku 5.5 (batch) |
| Pricing | $0.05/$0.25/M | $0.25/$0.75/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | Claude Haiku 5.5 (batch) |
| Pricing | 100 | 99 | Claude Haiku 5.5 (batch) |
| Context window size | 95 | 86 | Claude Haiku 5.5 (batch) |
| Recency | 100 | 76 | Claude Haiku 5.5 (batch) |
| Output Capacity | 82 | 85 | Mistral Large 3 2512 (batch) |
| Benchmarks | -- | 68 | Mistral Large 3 2512 (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 #218), placing it in the top 25% of all 290 models tracked.
Scores 67/100 (rank #184), placing it in the top 37% of all 290 models tracked.
Mistral Large 3 2512 (batch) has a 9-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Choose Claude Haiku 5.5 (batch) when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (1000K token context)
- Step-by-step reasoning and chain-of-thought problem solving
Choose Mistral Large 3 2512 (batch) when you need:
- Budget-friendly applications with moderate quality requirements
Claude Haiku 5.5 (batch) offers 70% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Claude Haiku 5.5 (batch) vs $15.00/month with Mistral Large 3 2512 (batch) - a $10.50 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. Claude Haiku 5.5 (batch) 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 ($0.25/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (67/100) 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
Mistral Large 3 2512 (batch) has a moderate advantage with a 9-point lead in composite score. It wins on more signal dimensions, but Claude Haiku 5.5 (batch) has specific strengths that could make it the better choice for certain workflows.
By Use Case
Best for Quality
Claude Haiku 5.5 (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
Claude Haiku 5.5 (batch)
70% 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 Cost - 70% lower pricing; better value at scale
- 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 Large 3 2512 (batch) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Claude Haiku 5.5 (batch)
Anthropic
Mistral Large 3 2512 (batch)
Mistral AI
Claude Haiku 5.5 (batch) saves you $0.9600/month
That's 71% cheaper than Mistral Large 3 2512 (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 Large 3 2512 (batch) |
|---|---|---|
| Context Window | 1M | 262K |
| Max Output Tokens | 128,000 | 209,715 |
| Open Source | No | No |
| Created | Oct 7, 2026 | Dec 1, 2025 |