| Signal | Gemini 3.1 Pro Preview | Delta | WizardLM-2 8x22B |
|---|---|---|---|
Capabilities | 83 | +67 | |
Benchmarks | 79 | +79 | |
Pricing | 12 | +11 | |
Context window size | 96 | +19 | |
Recency | 100 | +97 | |
Output Capacity | 80 | +15 | |
| Overall Result | 6 wins | of 6 | 0 wins |
30
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0
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Microsoft
WizardLM-2 8x22B saves you $707.00/month
That's $8484.00/year compared to Gemini 3.1 Pro Preview at your current usage level of 100K calls/month.
| Metric | Gemini 3.1 Pro Preview | WizardLM-2 8x22B | Winner |
|---|---|---|---|
| Overall Score | 86 | 32 | Gemini 3.1 Pro Preview |
| Rank | #18 | #306 | Gemini 3.1 Pro Preview |
| Quality Rank | #18 | #306 | Gemini 3.1 Pro Preview |
| Adoption Rank | #18 | #306 | Gemini 3.1 Pro Preview |
| Parameters | -- | 22B | -- |
| Context Window | 1049K | 66K | Gemini 3.1 Pro Preview |
| Pricing | $2.00/$12.00/M | $0.62/$0.62/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 17 | Gemini 3.1 Pro Preview |
| Benchmarks | 79 | -- | Gemini 3.1 Pro Preview |
| Pricing | 12 | 1 | Gemini 3.1 Pro Preview |
| Context window size | 96 | 76 | Gemini 3.1 Pro Preview |
| Recency | 100 | 3 | Gemini 3.1 Pro Preview |
| Output Capacity | 80 | 65 | Gemini 3.1 Pro Preview |
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 86/100 (rank #18), placing it in the top 94% of all 290 models tracked.
Scores 32/100 (rank #306), placing it in the top -5% of all 290 models tracked.
Gemini 3.1 Pro Preview has a 54-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
WizardLM-2 8x22B offers 91% better value per quality point. At 1M tokens/day, you'd spend $18.60/month with WizardLM-2 8x22B vs $210.00/month with Gemini 3.1 Pro Preview - a $191.40 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
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. WizardLM-2 8x22B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K 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 (86/100) 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
Gemini 3.1 Pro Preview clearly outperforms WizardLM-2 8x22B with a significant 53.7-point lead. For most general use cases, Gemini 3.1 Pro Preview is the stronger choice. However, WizardLM-2 8x22B may still excel in niche scenarios.
Best for Quality
Gemini 3.1 Pro Preview
Marginally better benchmark scores; both are excellent
Best for Cost
WizardLM-2 8x22B
91% lower pricing; better value at scale
Best for Reliability
Gemini 3.1 Pro Preview
Higher uptime and faster response speeds
Best for Prototyping
Gemini 3.1 Pro Preview
Stronger community support and better developer experience
Best for Production
Gemini 3.1 Pro Preview
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 3.1 Pro Preview | WizardLM-2 8x22B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Microsoft
WizardLM-2 8x22B saves you $16.14/month
That's 90% cheaper than Gemini 3.1 Pro Preview 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 | Gemini 3.1 Pro Preview | WizardLM-2 8x22B |
|---|---|---|
| Context Window | 1.0M | 66K |
| Max Output Tokens | 65,536 | 8,000 |
| Open Source | No | Yes |
| Created | Feb 19, 2026 | Apr 16, 2024 |
Gemini 3.1 Pro Preview scores 86/100 (rank #18) compared to WizardLM-2 8x22B's 32/100 (rank #306), giving it a 54-point advantage. Gemini 3.1 Pro Preview is the stronger overall choice, though WizardLM-2 8x22B may excel in specific areas like cost efficiency.
Gemini 3.1 Pro Preview is ranked #18 and WizardLM-2 8x22B is ranked #306 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.
WizardLM-2 8x22B is cheaper at $0.62/M output tokens vs Gemini 3.1 Pro Preview's $12.00/M output tokens - 19.4x more expensive. Input token pricing: Gemini 3.1 Pro Preview at $2.00/M vs WizardLM-2 8x22B at $0.62/M.
Gemini 3.1 Pro Preview has a larger context window of 1,048,576 tokens compared to WizardLM-2 8x22B's 65,535 tokens. A larger context window means the model can process longer documents and conversations.