| Signal | GPT-5.1-Codex-Max | Delta | Llama 3.2 1B Instruct |
|---|---|---|---|
Capabilities | 100 | +83 | |
Benchmarks | 88 | +69 | |
Pricing | 90 | -10 | |
Context window size | 80 | +7 | |
Recency | 96 | +79 | |
Output Capacity | 85 | +6 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
87.4
current score
GPT-5.1-Codex-Max
right now
17.6
current score
OpenAI
Meta
Llama 3.2 1B Instruct saves you $612.25/month
That's $7347.00/year compared to GPT-5.1-Codex-Max at your current usage level of 100K calls/month.
| Metric | GPT-5.1-Codex-Max | Llama 3.2 1B Instruct | Winner |
|---|---|---|---|
| Overall Score | 87 | 18 | GPT-5.1-Codex-Max |
| Rank | #24 | #315 | GPT-5.1-Codex-Max |
| Quality Rank | #24 | #315 | GPT-5.1-Codex-Max |
| Adoption Rank | #24 | #315 | GPT-5.1-Codex-Max |
| Parameters | -- | 1B | -- |
| Context Window | 400K | 131K | GPT-5.1-Codex-Max |
| Pricing | $1.25/$10.00/M | $0.03/$0.20/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 17 | GPT-5.1-Codex-Max |
| Benchmarks | 88 | 19 | GPT-5.1-Codex-Max |
| Pricing | 90 | 100 | Llama 3.2 1B Instruct |
| Context window size | 80 | 73 | GPT-5.1-Codex-Max |
| Recency | 96 | 17 | GPT-5.1-Codex-Max |
| Output Capacity | 85 | 80 | GPT-5.1-Codex-Max |
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 87/100 (rank #24), placing it in the top 92% of all 290 models tracked.
Scores 18/100 (rank #315), placing it in the top -8% of all 290 models tracked.
GPT-5.1-Codex-Max has a 70-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Llama 3.2 1B Instruct offers 98% better value per quality point. At 1M tokens/day, you'd spend $3.42/month with Llama 3.2 1B Instruct vs $168.75/month with GPT-5.1-Codex-Max - a $165.33 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. Llama 3.2 1B Instruct 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 ($0.20/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (87/100) 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-5.1-Codex-Max clearly outperforms Llama 3.2 1B Instruct with a significant 69.80000000000001-point lead. For most general use cases, GPT-5.1-Codex-Max is the stronger choice. However, Llama 3.2 1B Instruct may still excel in niche scenarios.
Best for Quality
GPT-5.1-Codex-Max
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.2 1B Instruct
98% lower pricing; better value at scale
Best for Reliability
GPT-5.1-Codex-Max
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.1-Codex-Max
Stronger community support and better developer experience
Best for Production
GPT-5.1-Codex-Max
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.1-Codex-Max | Llama 3.2 1B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Meta
Llama 3.2 1B Instruct saves you $13.96/month
That's 98% cheaper than GPT-5.1-Codex-Max 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 | GPT-5.1-Codex-Max | Llama 3.2 1B Instruct |
|---|---|---|
| Context Window | 400K | 131K |
| Max Output Tokens | 128,000 | 60,000 |
| Open Source | No | Yes |
| Created | Dec 4, 2025 | Sep 25, 2024 |