| Signal | Mistral Large | Delta | WizardLM-2 8x22B |
|---|---|---|---|
Capabilities | 50 | +17 | |
Benchmarks | 68 | +37 | |
Pricing | 94 | -5 | |
Context window size | 73 | +4 | |
Recency | 0 | -- | |
Output Capacity | 20 | -45 | |
| Overall Result | 3 wins | of 6 | 2 wins |
Score History
65.5
current score
Mistral Large
right now
28.5
current score
Mistral AI
Microsoft
WizardLM-2 8x22B saves you $407.00/month
That's $4884.00/year compared to Mistral Large at your current usage level of 100K calls/month.
| Metric | Mistral Large | WizardLM-2 8x22B | Winner |
|---|---|---|---|
| Overall Score | 66 | 29 | Mistral Large |
| Rank | #120 | #312 | Mistral Large |
| Quality Rank | #120 | #312 | Mistral Large |
| Adoption Rank | #120 | #312 | Mistral Large |
| Parameters | -- | 22B | -- |
| Context Window | 128K | 66K | Mistral Large |
| Pricing | $2.00/$6.00/M | $0.62/$0.62/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | Mistral Large |
| Benchmarks | 68 | 31 | Mistral Large |
| Pricing | 94 | 99 | WizardLM-2 8x22B |
| Context window size | 73 | 69 | Mistral Large |
| Recency | 0 | 0 | Mistral Large |
| Output Capacity | 20 | 65 | WizardLM-2 8x22B |
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 66/100 (rank #120), placing it in the top 59% of all 290 models tracked.
Scores 29/100 (rank #312), placing it in the top -7% of all 290 models tracked.
Mistral Large has a 37-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
WizardLM-2 8x22B offers 85% better value per quality point. At 1M tokens/day, you'd spend $18.60/month with WizardLM-2 8x22B vs $120.00/month with Mistral Large - a $101.40 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 (128K 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 (66/100) correlates with better nuance, coherence, and style in long-form content
Mistral Large clearly outperforms WizardLM-2 8x22B with a significant 37-point lead. For most general use cases, Mistral Large is the stronger choice. However, WizardLM-2 8x22B may still excel in niche scenarios.
Best for Quality
Mistral Large
Marginally better benchmark scores; both are excellent
Best for Cost
WizardLM-2 8x22B
85% lower pricing; better value at scale
Best for Reliability
Mistral Large
Higher uptime and faster response speeds
Best for Prototyping
Mistral Large
Stronger community support and better developer experience
Best for Production
Mistral Large
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mistral Large | WizardLM-2 8x22B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Microsoft
WizardLM-2 8x22B saves you $8.94/month
That's 83% cheaper than Mistral Large 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 | WizardLM-2 8x22B |
|---|---|---|
| Context Window | 128K | 66K |
| Max Output Tokens | -- | 8,000 |
| Open Source | No | Yes |
| Created | Feb 26, 2024 | Apr 16, 2024 |