| Signal | ALLaM 1 13B Instruct | Delta | GPT-5.4 |
|---|---|---|---|
Capabilities | 17 | -83 | |
Pricing | 98 | +13 | |
Context window size | 57 | -38 | |
Recency | 43 | -57 | |
Output Capacity | 60 | -25 | |
Benchmarks | 0 | -90 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
39.8
current score
GPT-5.4
right now
91.9
current score
HUMAIN
OpenAI
ALLaM 1 13B Instruct saves you $730.00/month
That's $8760.00/year compared to GPT-5.4 at your current usage level of 100K calls/month.
| Metric | ALLaM 1 13B Instruct | GPT-5.4 | Winner |
|---|---|---|---|
| Overall Score | 40 | 92 | GPT-5.4 |
| Rank | #302 | #2 | GPT-5.4 |
| Quality Rank | #302 | #2 | GPT-5.4 |
| Adoption Rank | #302 | #2 | GPT-5.4 |
| Parameters | 13B | -- | -- |
| Context Window | 4K | 1050K | GPT-5.4 |
| Pricing | $1.80/$1.80/M | $2.50/$15.00/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 100 | GPT-5.4 |
| Pricing | 98 | 85 | ALLaM 1 13B Instruct |
| Context window size | 57 | 96 | GPT-5.4 |
| Recency | 43 | 100 | GPT-5.4 |
| Output Capacity | 60 | 85 | GPT-5.4 |
| Benchmarks | -- | 90 | GPT-5.4 |
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 40/100 (rank #302), placing it in the top -4% of all 290 models tracked.
Scores 92/100 (rank #2), placing it in the top 100% of all 290 models tracked.
GPT-5.4 has a 52-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
ALLaM 1 13B Instruct offers 79% better value per quality point. At 1M tokens/day, you'd spend $54.00/month with ALLaM 1 13B Instruct vs $262.50/month with GPT-5.4 - a $208.50 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
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. ALLaM 1 13B Instruct 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 ($1.80/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (92/100) 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 clearly outperforms ALLaM 1 13B Instruct with a significant 52.10000000000001-point lead. For most general use cases, GPT-5.4 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
ALLaM 1 13B Instruct
79% 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 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
HUMAIN
OpenAI
ALLaM 1 13B Instruct saves you $17.10/month
That's 76% cheaper than GPT-5.4 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 |
|---|---|---|
| Context Window | 4K | 1.1M |
| Max Output Tokens | 4,096 | 128,000 |
| Open Source | No | No |
| Created | Dec 1, 2024 | Mar 5, 2026 |