| Signal | GPT-5.1-Codex-Mini | Delta | Nova Premier 1.0 |
|---|---|---|---|
Capabilities | 83 | +33 | |
Pricing | 2 | -10 | |
Context window size | 89 | -6 | |
Recency | 100 | -- | |
Output Capacity | 83 | +8 | |
| Overall Result | 2 wins | of 5 | 2 wins |
9
days higher
6
days
15
days higher
OpenAI
Amazon
GPT-5.1-Codex-Mini saves you $750.00/month
That's $9000.00/year compared to Nova Premier 1.0 at your current usage level of 100K calls/month.
| Metric | GPT-5.1-Codex-Mini | Nova Premier 1.0 | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #175 | #177 | GPT-5.1-Codex-Mini |
| Quality Rank | #175 | #177 | GPT-5.1-Codex-Mini |
| Adoption Rank | #175 | #177 | GPT-5.1-Codex-Mini |
| Parameters | -- | -- | -- |
| Context Window | 400K | 1000K | Nova Premier 1.0 |
| Pricing | $0.25/$2.00/M | $2.50/$12.50/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 50 | GPT-5.1-Codex-Mini |
| Pricing | 2 | 13 | Nova Premier 1.0 |
| Context window size | 89 | 95 | Nova Premier 1.0 |
| Recency | 100 | 100 | GPT-5.1-Codex-Mini |
| Output Capacity | 83 | 75 | GPT-5.1-Codex-Mini |
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%). Here's what the scores mean for these two models:
Scores 40/100 (rank #175), placing it in the top 40% of all 290 models tracked.
Scores 40/100 (rank #177), placing it in the top 39% 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.
GPT-5.1-Codex-Mini offers 85% better value per quality point. At 1M tokens/day, you'd spend $33.75/month with GPT-5.1-Codex-Mini vs $225.00/month with Nova Premier 1.0 - a $191.25 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-5.1-Codex-Mini also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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-Mini and Nova Premier 1.0 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.
Best for Quality
GPT-5.1-Codex-Mini
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.1-Codex-Mini
85% lower pricing; better value at scale
Best for Reliability
GPT-5.1-Codex-Mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.1-Codex-Mini
Stronger community support and better developer experience
Best for Production
GPT-5.1-Codex-Mini
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.1-Codex-Mini | Nova Premier 1.0 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
OpenAI
Amazon
GPT-5.1-Codex-Mini saves you $16.65/month
That's 85% cheaper than Nova Premier 1.0 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-Mini | Nova Premier 1.0 |
|---|---|---|
| Context Window | 400K | 1M |
| Max Output Tokens | 100,000 | 32,000 |
| Open Source | No | No |
| Created | Nov 13, 2025 | Oct 31, 2025 |
Both GPT-5.1-Codex-Mini and Nova Premier 1.0 score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
GPT-5.1-Codex-Mini is ranked #175 and Nova Premier 1.0 is ranked #177 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
GPT-5.1-Codex-Mini is cheaper at $2.00/M output tokens vs Nova Premier 1.0's $12.50/M output tokens - 6.3x more expensive. Input token pricing: GPT-5.1-Codex-Mini at $0.25/M vs Nova Premier 1.0 at $2.50/M.
Nova Premier 1.0 has a larger context window of 1,000,000 tokens compared to GPT-5.1-Codex-Mini's 400,000 tokens. A larger context window means the model can process longer documents and conversations.