Mistral Large 3 2512 (batch) vs WizardLM-2 8x22B
| Signal | Mistral Large 3 2512 (batch) | Delta | WizardLM-2 8x22B |
|---|---|---|---|
Capabilities | 67 | +33 | |
Benchmarks | 68 | +37 | |
Pricing | 99 | 0 | |
Context window size | 86 | +10 | |
Recency | 79 | +79 | |
Output Capacity | 85 | +23 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
67
current score
Mistral Large 3 2512 (batch)
right now
28.8
current score
Mistral Large 3 2512 (batch)
Mistral AI
WizardLM-2 8x22B
Microsoft
Mistral Large 3 2512 (batch) saves you $30.50/month
That's $366.00/year compared to WizardLM-2 8x22B at your current usage level of 100K calls/month.
| Metric | Mistral Large 3 2512 (batch) | WizardLM-2 8x22B | Winner |
|---|---|---|---|
| Overall Score | 67 | 29 | Mistral Large 3 2512 (batch) |
| Rank | #183 | #416 | Mistral Large 3 2512 (batch) |
| Quality Rank | #183 | #416 | Mistral Large 3 2512 (batch) |
| Adoption Rank | #183 | #416 | Mistral Large 3 2512 (batch) |
| Parameters | -- | 22B | -- |
| Context Window | 262K | 66K | Mistral Large 3 2512 (batch) |
| Pricing | $0.25/$0.75/M | $0.62/$0.62/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 33 | Mistral Large 3 2512 (batch) |
| Benchmarks | 68 | 31 | Mistral Large 3 2512 (batch) |
| Pricing | 99 | 99 | WizardLM-2 8x22B |
| Context window size | 86 | 76 | Mistral Large 3 2512 (batch) |
| Recency | 79 | 0 | Mistral Large 3 2512 (batch) |
| Output Capacity | 85 | 62 | 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 67/100 (rank #183), placing it in the top 37% of all 290 models tracked.
Scores 29/100 (rank #416), placing it in the top -43% of all 290 models tracked.
Mistral Large 3 2512 (batch) has a 38-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Mistral Large 3 2512 (batch) when you need:
- Processing long documents or large codebases (262K token context)
- Multimodal workflows that require image understanding
- Agentic applications using tool/function calling
Choose WizardLM-2 8x22B when you need:
- Self-hosted deployments where you need full control over the model
Mistral Large 3 2512 (batch) offers 19% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with Mistral Large 3 2512 (batch) vs $18.60/month with WizardLM-2 8x22B - a $3.60 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. WizardLM-2 8x22B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.62/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) clearly outperforms WizardLM-2 8x22B with a significant 38.2-point lead. For most general use cases, Mistral Large 3 2512 (batch) is the stronger choice. However, WizardLM-2 8x22B may still excel in niche scenarios.
By Use Case
Best for Quality
Mistral Large 3 2512 (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Large 3 2512 (batch)
19% lower pricing; better value at scale
Best for Reliability
Mistral Large 3 2512 (batch)
Higher uptime and faster response speeds
Best for Prototyping
Mistral Large 3 2512 (batch)
Stronger community support and better developer experience
Best for Production
Mistral Large 3 2512 (batch)
Wider enterprise adoption and proven at scale
by Mistral AI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 19% 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 | Mistral Large 3 2512 (batch) | WizardLM-2 8x22B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral Large 3 2512 (batch)
Mistral AI
WizardLM-2 8x22B
Microsoft
Mistral Large 3 2512 (batch) saves you $0.5100/month
That's 27% cheaper than WizardLM-2 8x22B 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 | Mistral Large 3 2512 (batch) | WizardLM-2 8x22B |
|---|---|---|
| Context Window | 262K | 66K |
| Max Output Tokens | 209,715 | 8,000 |
| Open Source | No | Yes |
| Created | Dec 1, 2025 | Apr 16, 2024 |