| Signal | GPT-5.4 Nano | Delta | Pixtral Large 2411 |
|---|---|---|---|
Capabilities | 100 | +33 | |
Pricing | 1 | -5 | |
Context window size | 89 | +8 | |
Recency | 100 | +56 | |
Output Capacity | 85 | +65 | |
| Overall Result | 4 wins | of 5 | 1 wins |
30
days ranked higher
0
days
0
days ranked higher
OpenAI
Mistral AI
GPT-5.4 Nano saves you $417.50/month
That's $5010.00/year compared to Pixtral Large 2411 at your current usage level of 100K calls/month.
| Metric | GPT-5.4 Nano | Pixtral Large 2411 | Winner |
|---|---|---|---|
| Overall Score | 85 | 56 | GPT-5.4 Nano |
| Rank | #24 | #244 | GPT-5.4 Nano |
| Quality Rank | #24 | #244 | GPT-5.4 Nano |
| Adoption Rank | #24 | #244 | GPT-5.4 Nano |
| Parameters | -- | -- | -- |
| Context Window | 400K | 131K | GPT-5.4 Nano |
| Pricing | $0.20/$1.25/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5.4 Nano |
| Pricing | 1 | 6 | Pixtral Large 2411 |
| Context window size | 89 | 81 | GPT-5.4 Nano |
| Recency | 100 | 44 | GPT-5.4 Nano |
| Output Capacity | 85 | 20 | GPT-5.4 Nano |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 85/100 (rank #24), placing it in the top 92% of all 290 models tracked.
Scores 56/100 (rank #244), placing it in the top 16% of all 290 models tracked.
GPT-5.4 Nano has a 29-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
GPT-5.4 Nano offers 82% better value per quality point. At 1M tokens/day, you'd spend $21.75/month with GPT-5.4 Nano vs $120.00/month with Pixtral Large 2411 - a $98.25 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
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. 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 (85/100) 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 Pixtral Large 2411 with a significant 29.299999999999997-point lead. For most general use cases, GPT-5.4 Nano is the stronger choice. However, Pixtral Large 2411 may still excel in niche scenarios.
Best for Quality
GPT-5.4 Nano
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.4 Nano
82% lower pricing; better value at scale
Best for Reliability
GPT-5.4 Nano
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4 Nano
Stronger community support and better developer experience
Best for Production
GPT-5.4 Nano
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.4 Nano | Pixtral Large 2411 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Mistral AI
GPT-5.4 Nano saves you $8.94/month
That's 83% cheaper than Pixtral Large 2411 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 Nano | Pixtral Large 2411 |
|---|---|---|
| Context Window | 400K | 131K |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | No |
| Created | Mar 17, 2026 | Nov 19, 2024 |
GPT-5.4 Nano scores 85/100 (rank #24) compared to Pixtral Large 2411's 56/100 (rank #244), giving it a 29-point advantage. GPT-5.4 Nano is the stronger overall choice, though Pixtral Large 2411 may excel in specific areas like certain benchmarks.
GPT-5.4 Nano is ranked #24 and Pixtral Large 2411 is ranked #244 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
GPT-5.4 Nano is cheaper at $1.25/M output tokens vs Pixtral Large 2411's $6.00/M output tokens - 4.8x more expensive. Input token pricing: GPT-5.4 Nano at $0.20/M vs Pixtral Large 2411 at $2.00/M.
GPT-5.4 Nano has a larger context window of 400,000 tokens compared to Pixtral Large 2411's 131,072 tokens. A larger context window means the model can process longer documents and conversations.