autofixer-01 vs WizardLM-2 8x22B
| Signal | autofixer-01 | Delta | WizardLM-2 8x22B |
|---|---|---|---|
Capabilities | 17 | -17 | |
Pricing | 100 | +1 | |
Context window size | 0 | -76 | |
Recency | 76 | +76 | |
Output Capacity | 20 | -45 | |
Benchmarks | 0 | -31 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
27.8
current score
WizardLM-2 8x22B
right now
28.8
current score
autofixer-01
Vercel
WizardLM-2 8x22B
Microsoft
autofixer-01 saves you $93.00/month
That's $1116.00/year compared to WizardLM-2 8x22B at your current usage level of 100K calls/month.
| Metric | autofixer-01 | WizardLM-2 8x22B | Winner |
|---|---|---|---|
| Overall Score | 28 | 29 | WizardLM-2 8x22B |
| Rank | #373 | #372 | WizardLM-2 8x22B |
| Quality Rank | #373 | #372 | WizardLM-2 8x22B |
| Adoption Rank | #373 | #372 | WizardLM-2 8x22B |
| Parameters | -- | 22B | -- |
| Context Window | -- | 66K | -- |
| Pricing | Free | $0.62/$0.62/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 33 | WizardLM-2 8x22B |
| Pricing | 100 | 99 | autofixer-01 |
| Context window size | 0 | 76 | WizardLM-2 8x22B |
| Recency | 76 | 0 | autofixer-01 |
| Output Capacity | 20 | 65 | WizardLM-2 8x22B |
| Benchmarks | -- | 31 | 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 28/100 (rank #373), placing it in the top -28% of all 290 models tracked.
Scores 29/100 (rank #372), placing it in the top -28% of all 290 models tracked.
With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Choose autofixer-01 when you need:
- High-volume production workloads where API costs must be minimized
Choose WizardLM-2 8x22B when you need:
- Processing long documents or large codebases (66K token context)
- Self-hosted deployments where you need full control over the model
Compare the cost per quality point to find the best value for your specific workload.
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. autofixer-01 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (66K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (29/100) correlates with better nuance, coherence, and style in long-form content
autofixer-01 and WizardLM-2 8x22B are extremely close in overall performance (only 1 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
autofixer-01
Marginally better benchmark scores; both are excellent
Best for Cost
autofixer-01
100% lower pricing; better value at scale
Best for Reliability
autofixer-01
Higher uptime and faster response speeds
Best for Prototyping
autofixer-01
Stronger community support and better developer experience
Best for Production
autofixer-01
Wider enterprise adoption and proven at scale
by Vercel
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 100% 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 | autofixer-01 | WizardLM-2 8x22B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
autofixer-01
Vercel
WizardLM-2 8x22B
Microsoft
autofixer-01 saves you $1.86/month
That's 100% 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 | autofixer-01 | WizardLM-2 8x22B |
|---|---|---|
| Context Window | -- | 66K |
| Max Output Tokens | -- | 8,000 |
| Open Source | No | Yes |
| Created | Oct 1, 2025 | Apr 16, 2024 |