ALLaM 1 13B Instruct vs GPT-6 Luna Pro (batch)
| Signal | ALLaM 1 13B Instruct | Delta | GPT-6 Luna Pro (batch) |
|---|---|---|---|
Capabilities | 17 | -83 | |
Pricing | 98 | -2 | |
Context window size | 57 | -38 | |
Recency | 10 | -90 | |
Output Capacity | 58 | -24 | |
| Overall Result | 0 wins | of 5 | 5 wins |
Score History
31.3
current score
GPT-6 Luna Pro (batch)
right now
40
current score
ALLaM 1 13B Instruct
HUMAIN
GPT-6 Luna Pro (batch)
OpenAI
GPT-6 Luna Pro (batch) saves you $252.50/month
That's $3030.00/year compared to ALLaM 1 13B Instruct at your current usage level of 100K calls/month.
| Metric | ALLaM 1 13B Instruct | GPT-6 Luna Pro (batch) | Winner |
|---|---|---|---|
| Overall Score | 31 | 40 | GPT-6 Luna Pro (batch) |
| Rank | #439 | #254 | GPT-6 Luna Pro (batch) |
| Quality Rank | #439 | #254 | GPT-6 Luna Pro (batch) |
| Adoption Rank | #439 | #254 | GPT-6 Luna Pro (batch) |
| Parameters | 13B | -- | -- |
| Context Window | 4K | 1050K | GPT-6 Luna Pro (batch) |
| Pricing | $1.80/$1.80/M | $0.05/$0.25/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 100 | GPT-6 Luna Pro (batch) |
| Pricing | 98 | 100 | GPT-6 Luna Pro (batch) |
| Context window size | 57 | 96 | GPT-6 Luna Pro (batch) |
| Recency | 10 | 100 | GPT-6 Luna Pro (batch) |
| Output Capacity | 58 | 82 | GPT-6 Luna Pro (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 31/100 (rank #439), placing it in the top -51% of all 290 models tracked.
Scores 40/100 (rank #254), placing it in the top 13% of all 290 models tracked.
GPT-6 Luna Pro (batch) has a 9-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Choose ALLaM 1 13B Instruct when you need:
- Budget-friendly applications with moderate quality requirements
Choose GPT-6 Luna Pro (batch) when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (1050K token context)
- Multimodal workflows that require image understanding
- Agentic applications using tool/function calling
- Step-by-step reasoning and chain-of-thought problem solving
GPT-6 Luna Pro (batch) offers 92% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with GPT-6 Luna Pro (batch) vs $54.00/month with ALLaM 1 13B Instruct - a $49.50 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. GPT-6 Luna Pro (batch) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.25/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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
GPT-6 Luna Pro (batch) has a moderate advantage with a 8.7-point lead in composite score. It wins on more signal dimensions, but ALLaM 1 13B Instruct 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
GPT-6 Luna Pro (batch)
92% 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
by OpenAI
- Choose for Cost - 92% lower pricing; better value at scale
| Capability | ALLaM 1 13B Instruct | GPT-6 Luna Pro (batch) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
ALLaM 1 13B Instruct
HUMAIN
GPT-6 Luna Pro (batch)
OpenAI
GPT-6 Luna Pro (batch) saves you $5.01/month
That's 93% 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 | GPT-6 Luna Pro (batch) |
|---|---|---|
| Context Window | 4K | 1.1M |
| Max Output Tokens | 4,096 | 128,000 |
| Open Source | No | No |
| Created | Dec 1, 2024 | Sep 22, 2026 |