GPT-5.4 vs GPT-5.4 Pro
| Signal | GPT-5.4 | Delta | GPT-5.4 Pro |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 90 | -- | |
Pricing | 85 | +80 | |
Context window size | 86 | -- | |
Recency | 100 | -- | |
Output Capacity | 85 | -- | |
| Overall Result | 1 wins | of 6 | 0 wins |
Score History
91.5
current score
Tied
right now
91.5
current score
GPT-5.4
OpenAI
GPT-5.4 Pro
OpenAI
GPT-5.4 saves you $11000.00/month
That's $132000.00/year compared to GPT-5.4 Pro at your current usage level of 100K calls/month.
| Metric | GPT-5.4 | GPT-5.4 Pro | Winner |
|---|---|---|---|
| Overall Score | 92 | 92 | -- |
| Rank | #9 | #8 | GPT-5.4 Pro |
| Quality Rank | #9 | #8 | GPT-5.4 Pro |
| Adoption Rank | #9 | #8 | GPT-5.4 Pro |
| Parameters | -- | -- | -- |
| Context Window | 1050K | 1050K | -- |
| Pricing | $2.50/$15.00/M | $30.00/$180.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | GPT-5.4 |
| Benchmarks | 90 | 90 | GPT-5.4 |
| Pricing | 85 | 5 | GPT-5.4 |
| Context window size | 86 | 86 | GPT-5.4 |
| Recency | 100 | 100 | GPT-5.4 |
| Output Capacity | 85 | 85 | 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 92/100 (rank #9), placing it in the top 97% of all 290 models tracked.
Scores 92/100 (rank #8), placing it in the top 98% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Choose GPT-5.4 when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
Choose GPT-5.4 Pro when you need:
- Step-by-step reasoning and chain-of-thought problem solving
GPT-5.4 offers 92% better value per quality point. At 1M tokens/day, you'd spend $262.50/month with GPT-5.4 vs $3150.00/month with GPT-5.4 Pro - a $2887.50 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-5.4 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 ($15.00/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 and GPT-5.4 Pro are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
GPT-5.4
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.4
92% lower pricing; better value at scale
Best for Reliability
GPT-5.4
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4
Stronger community support and better developer experience
Best for Production
GPT-5.4
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 92% lower pricing; better value at scale
- 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
| Capability | GPT-5.4 | GPT-5.4 Pro |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
GPT-5.4
OpenAI
GPT-5.4 Pro
OpenAI
GPT-5.4 saves you $247.50/month
That's 92% cheaper than GPT-5.4 Pro 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-5.4 | GPT-5.4 Pro |
|---|---|---|
| Context Window | 1.1M | 1.1M |
| Max Output Tokens | 128,000 | 128,000 |
| Open Source | No | No |
| Created | Mar 5, 2026 | Mar 5, 2026 |
The standard GPT-5.4 model ($15/M output) appears optimized for broader coding tasks, ranking #5 of 326 models with a 67/100 score. GPT-5.4 Pro's premium pricing ($180/M output) suggests it's targeted at specialized enterprise workflows where the 61/100 score trade-off is acceptable for other benefits like dedicated capacity or SLAs not reflected in pure benchmark performance.
At 10M output tokens daily, GPT-5.4 costs $150 while GPT-5.4 Pro costs $1,800 - an 11x difference that compounds to $602,250 annually. Given GPT-5.4's superior 67/100 coding score versus Pro's 61/100, the standard model delivers better performance at 8.3% of the cost, making Pro difficult to justify unless you specifically need enterprise support features.
Despite identical technical specifications, GPT-5.4 ranks #5 while Pro ranks #11, suggesting different training optimizations or inference configurations. The 12x output pricing premium ($180/M vs $15/M) indicates Pro likely uses more compute per token for consistency rather than peak performance, explaining why it scores 61/100 versus standard's 67/100 on coding tasks.
With GPT-5.4 scoring 6 points higher (67 vs 61) at 12x lower output costs, migration makes sense for most coding workflows processing over 1M tokens monthly. The identical capability set (vision, function calling, streaming, JSON mode, reasoning, web search) means zero feature loss, though teams should verify if they're using any Pro-exclusive enterprise features like uptime guarantees before switching.
The input pricing gap ($30/M for Pro vs $2.50/M for standard) becomes significant above 100M input tokens monthly, adding $2,750 in costs. For typical code analysis with 10:1 input/output ratios, a team processing 1B input tokens would pay $27,500 extra monthly with Pro while getting 6 points lower performance (61/100 vs 67/100), making standard GPT-5.4 the clear choice for code-heavy workloads.