ALLaM 1 13B Instruct vs WizardLM-2 8x22B
| Signal | ALLaM 1 13B Instruct | Delta | WizardLM-2 8x22B |
|---|---|---|---|
Capabilities | 17 | -17 | |
Pricing | 98 | -1 | |
Context window size | 57 | -19 | |
Recency | 18 | +18 | |
Output Capacity | 60 | -5 | |
Benchmarks | 0 | -31 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
33.7
current score
ALLaM 1 13B Instruct
right now
28.8
current score
ALLaM 1 13B Instruct
HUMAIN
WizardLM-2 8x22B
Microsoft
WizardLM-2 8x22B saves you $177.00/month
That's $2124.00/year compared to ALLaM 1 13B Instruct at your current usage level of 100K calls/month.
| Metric | ALLaM 1 13B Instruct | WizardLM-2 8x22B | Winner |
|---|---|---|---|
| Overall Score | 34 | 29 | ALLaM 1 13B Instruct |
| Rank | #391 | #393 | ALLaM 1 13B Instruct |
| Quality Rank | #391 | #393 | ALLaM 1 13B Instruct |
| Adoption Rank | #391 | #393 | ALLaM 1 13B Instruct |
| Parameters | 13B | 22B | -- |
| Context Window | 4K | 66K | WizardLM-2 8x22B |
| Pricing | $1.80/$1.80/M | $0.62/$0.62/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 33 | WizardLM-2 8x22B |
| Pricing | 98 | 99 | WizardLM-2 8x22B |
| Context window size | 57 | 76 | WizardLM-2 8x22B |
| Recency | 18 | 0 | ALLaM 1 13B Instruct |
| Output Capacity | 60 | 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 34/100 (rank #391), placing it in the top -34% of all 290 models tracked.
Scores 29/100 (rank #393), placing it in the top -35% of all 290 models tracked.
With only a 5-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 ALLaM 1 13B Instruct when you need:
- Budget-friendly applications with moderate quality requirements
Choose WizardLM-2 8x22B when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (66K token context)
- Self-hosted deployments where you need full control over the model
WizardLM-2 8x22B offers 66% better value per quality point. At 1M tokens/day, you'd spend $18.60/month with WizardLM-2 8x22B vs $54.00/month with ALLaM 1 13B Instruct - a $35.40 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 (66K 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 (34/100) correlates with better nuance, coherence, and style in long-form content
ALLaM 1 13B Instruct has a moderate advantage with a 4.900000000000002-point lead in composite score. It wins on more signal dimensions, but WizardLM-2 8x22B has specific strengths that could make it the better choice for certain workflows.
By Use Case
Best for Quality
ALLaM 1 13B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
WizardLM-2 8x22B
66% lower pricing; better value at scale
Best for Reliability
ALLaM 1 13B Instruct
Higher uptime and faster response speeds
Best for Prototyping
ALLaM 1 13B Instruct
Stronger community support and better developer experience
Best for Production
ALLaM 1 13B Instruct
Wider enterprise adoption and proven at scale
by HUMAIN
- Choose for Quality - Marginally better benchmark scores; both are excellent
- 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 | ALLaM 1 13B Instruct | WizardLM-2 8x22B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
ALLaM 1 13B Instruct
HUMAIN
WizardLM-2 8x22B
Microsoft
WizardLM-2 8x22B saves you $3.54/month
That's 66% cheaper than ALLaM 1 13B Instruct 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 | ALLaM 1 13B Instruct | WizardLM-2 8x22B |
|---|---|---|
| Context Window | 4K | 66K |
| Max Output Tokens | 4,096 | 8,000 |
| Open Source | No | Yes |
| Created | Dec 1, 2024 | Apr 16, 2024 |