| Signal | Coder Large | Delta | GPT-5.4 Nano |
|---|---|---|---|
Capabilities | 17 | -83 | |
Pricing | 99 | +0 | |
Context window size | 72 | -17 | |
Recency | 66 | -34 | |
Output Capacity | 20 | -65 | |
Benchmarks | 0 | -90 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
40
current score
GPT-5.4 Nano
right now
79.3
current score
arcee-ai
OpenAI
GPT-5.4 Nano saves you $7.50/month
That's $90.00/year compared to Coder Large at your current usage level of 100K calls/month.
| Metric | Coder Large | GPT-5.4 Nano | Winner |
|---|---|---|---|
| Overall Score | 40 | 79 | GPT-5.4 Nano |
| Rank | #274 | #42 | GPT-5.4 Nano |
| Quality Rank | #274 | #42 | GPT-5.4 Nano |
| Adoption Rank | #274 | #42 | GPT-5.4 Nano |
| Parameters | -- | -- | -- |
| Context Window | 33K | 400K | GPT-5.4 Nano |
| Pricing | $0.50/$0.80/M | $0.20/$1.25/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 100 | GPT-5.4 Nano |
| Pricing | 99 | 99 | Coder Large |
| Context window size | 72 | 89 | GPT-5.4 Nano |
| Recency | 66 | 100 | GPT-5.4 Nano |
| Output Capacity | 20 | 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 40/100 (rank #274), placing it in the top 6% of all 290 models tracked.
Scores 79/100 (rank #42), placing it in the top 86% of all 290 models tracked.
GPT-5.4 Nano has a 39-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
GPT-5.4 Nano offers 10% better value per quality point. At 1M tokens/day, you'd spend $19.50/month with Coder Large vs $21.75/month with GPT-5.4 Nano - a $2.25 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. Coder Large 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 ($0.80/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 Coder Large with a significant 39.3-point lead. For most general use cases, GPT-5.4 Nano is the stronger choice. However, Coder Large may still excel in niche scenarios.
Best for Quality
Coder Large
Marginally better benchmark scores; both are excellent
Best for Cost
Coder Large
10% lower pricing; better value at scale
Best for Reliability
Coder Large
Higher uptime and faster response speeds
Best for Prototyping
Coder Large
Stronger community support and better developer experience
Best for Production
Coder Large
Wider enterprise adoption and proven at scale
by arcee-ai
| Capability | Coder Large | GPT-5.4 Nano |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
arcee-ai
OpenAI
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Coder Large | GPT-5.4 Nano |
|---|---|---|
| Context Window | 33K | 400K |
| Max Output Tokens | -- | 128,000 |
| Open Source | No | No |
| Created | May 5, 2025 | Mar 17, 2026 |