GPT-5.2-Codex vs Nemotron Nano 9B V2 (free)
| Signal | GPT-5.2-Codex | Delta | Nemotron Nano 9B V2 (free) |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 89 | +89 | |
Pricing | 86 | -14 | |
Context window size | 89 | +8 | |
Recency | 95 | +24 | |
Output Capacity | 85 | +65 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
90.5
current score
GPT-5.2-Codex
right now
40
current score
GPT-5.2-Codex
OpenAI
Nemotron Nano 9B V2 (free)
NVIDIA
Nemotron Nano 9B V2 (free) saves you $875.00/month
That's $10500.00/year compared to GPT-5.2-Codex at your current usage level of 100K calls/month.
| Metric | GPT-5.2-Codex | Nemotron Nano 9B V2 (free) | Winner |
|---|---|---|---|
| Overall Score | 91 | 40 | GPT-5.2-Codex |
| Rank | #24 | #320 | GPT-5.2-Codex |
| Quality Rank | #24 | #320 | GPT-5.2-Codex |
| Adoption Rank | #24 | #320 | GPT-5.2-Codex |
| Parameters | -- | 9B | -- |
| Context Window | 400K | 128K | GPT-5.2-Codex |
| Pricing | $1.75/$14.00/M | Free | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5.2-Codex |
| Benchmarks | 89 | -- | GPT-5.2-Codex |
| Pricing | 86 | 100 | Nemotron Nano 9B V2 (free) |
| Context window size | 89 | 81 | GPT-5.2-Codex |
| Recency | 95 | 72 | GPT-5.2-Codex |
| Output Capacity | 85 | 20 | GPT-5.2-Codex |
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 91/100 (rank #24), placing it in the top 92% of all 290 models tracked.
Scores 40/100 (rank #320), placing it in the top -10% of all 290 models tracked.
GPT-5.2-Codex has a 51-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-5.2-Codex when you need:
- Processing long documents or large codebases (400K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
Choose Nemotron Nano 9B V2 (free) when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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. Nemotron Nano 9B V2 (free) 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 ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (91/100) 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-5.2-Codex clearly outperforms Nemotron Nano 9B V2 (free) with a significant 50.5-point lead. For most general use cases, GPT-5.2-Codex is the stronger choice. However, Nemotron Nano 9B V2 (free) may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-5.2-Codex
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron Nano 9B V2 (free)
100% lower pricing; better value at scale
Best for Reliability
GPT-5.2-Codex
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2-Codex
Stronger community support and better developer experience
Best for Production
GPT-5.2-Codex
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- 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-5.2-Codex | Nemotron Nano 9B V2 (free) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
GPT-5.2-Codex
OpenAI
Nemotron Nano 9B V2 (free)
NVIDIA
Nemotron Nano 9B V2 (free) saves you $19.95/month
That's 100% cheaper than GPT-5.2-Codex 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-5.2-Codex | Nemotron Nano 9B V2 (free) |
|---|---|---|
| Context Window | 400K | 128K |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | Yes |
| Created | Jan 14, 2026 | Sep 5, 2025 |