| Signal | ALLaM 1 13B Instruct | Delta | GPT-5.4 Nano |
|---|---|---|---|
Capabilities | 17 | -83 | |
Pricing | 98 | -1 | |
Context window size | 52 | -28 | |
Recency | 34 | -66 | |
Output Capacity | 60 | -25 | |
Benchmarks | 0 | -90 | |
| Overall Result | 0 wins | of 6 | 6 wins |
Score History
36.4
current score
GPT-5.4 Nano
right now
78.8
current score
HUMAIN
OpenAI
GPT-5.4 Nano saves you $187.50/month
That's $2250.00/year compared to ALLaM 1 13B Instruct at your current usage level of 100K calls/month.
| Metric | ALLaM 1 13B Instruct | GPT-5.4 Nano | Winner |
|---|---|---|---|
| Overall Score | 36 | 79 | GPT-5.4 Nano |
| Rank | #316 | #46 | GPT-5.4 Nano |
| Quality Rank | #316 | #46 | GPT-5.4 Nano |
| Adoption Rank | #316 | #46 | GPT-5.4 Nano |
| Parameters | 13B | -- | -- |
| Context Window | 4K | 400K | GPT-5.4 Nano |
| Pricing | $1.80/$1.80/M | $0.20/$1.25/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 100 | GPT-5.4 Nano |
| Pricing | 98 | 99 | GPT-5.4 Nano |
| Context window size | 52 | 80 | GPT-5.4 Nano |
| Recency | 34 | 100 | GPT-5.4 Nano |
| Output Capacity | 60 | 85 | GPT-5.4 Nano |
| Benchmarks | -- | 90 | GPT-5.4 Nano |
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 36/100 (rank #316), placing it in the top -9% of all 290 models tracked.
Scores 79/100 (rank #46), placing it in the top 84% of all 290 models tracked.
GPT-5.4 Nano has a 42-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
GPT-5.4 Nano offers 60% better value per quality point. At 1M tokens/day, you'd spend $21.75/month with GPT-5.4 Nano vs $54.00/month with ALLaM 1 13B Instruct - a $32.25 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-5.4 Nano also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.25/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (79/100) 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-5.4 Nano clearly outperforms ALLaM 1 13B Instruct with a significant 42.4-point lead. For most general use cases, GPT-5.4 Nano is the stronger choice. However, ALLaM 1 13B Instruct may still excel in niche scenarios.
Best for Quality
ALLaM 1 13B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.4 Nano
60% 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
| Capability | ALLaM 1 13B Instruct | GPT-5.4 Nano |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
HUMAIN
OpenAI
GPT-5.4 Nano 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 | GPT-5.4 Nano |
|---|---|---|
| Context Window | 4K | 400K |
| Max Output Tokens | 4,096 | 128,000 |
| Open Source | No | No |
| Created | Dec 1, 2024 | Mar 17, 2026 |