AI model comparison
DeepSeek V3.1 vs GPT-5 Nano
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
DeepSeek
DeepSeek V3.1
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates.
- Input / 1M
- $0.25
- Output / 1M
- $0.95
- Context
- 164K
OpenAI
GPT-5 Nano
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments.
- Input / 1M
- $0.05
- Output / 1M
- $0.40
- Context
- 400K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-5 Nano
3.3x cheaper for a typical chat
Higher intelligence score
DeepSeek V3.1
13.7 vs 13 on Artificial Analysis
Larger context window
GPT-5 Nano
400K vs 164K tokens
Newer release
DeepSeek V3.1
Released August 21, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V3.113.7GPT-5 Nano13Coding index
DeepSeek V3.1Not availableGPT-5 NanoNot availableAgentic index
DeepSeek V3.1Not availableGPT-5 NanoNot availablePricing
DeepSeek V3.1 vs GPT-5 Nano API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V3.1 | GPT-5 Nano |
|---|---|---|
| Input tokensPer 1M tokens | $0.25 | $0.05 |
| Output tokensPer 1M tokens | $0.95 | $0.40 |
| Cached input (read)Per 1M tokens | $0.13 | $0.01 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | Not available | $0.01 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
DeepSeek V3.1$0.98GPT-5 Nano$0.30Coding task
30K in, 4K out
DeepSeek V3.1$11.30$7.70 cachedGPT-5 Nano$3.10$1.75 cachedLong document summary
150K in, 2K out
DeepSeek V3.1$39.40$21.40 cachedGPT-5 Nano$8.30$1.55 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | DeepSeek V3.1 | GPT-5 Nano |
|---|---|---|
| Context window | 164K tokens | 400K tokens |
| Max output | 33K tokens | 128K tokens |
| Input types | Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | High, Medium, Low, Minimal |
| Default reasoning effort | Not available | Medium |
| Release date | August 21, 2025 | August 7, 2025 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V3.1 | GPT-5 Nano |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
DeepSeek V3.1View full model details- DeepSeek V3.1 vs Gemini 3.1 Flash Lite
- DeepSeek V3.1 vs Gemma 4 31B
- DeepSeek V3.1 vs Qwen3 235B A22B Instruct 2507
- DeepSeek V3.1 vs DeepSeek V3.2 Exp
- DeepSeek V3.1 vs DeepSeek V3 0324
- DeepSeek V3.1 vs GLM 4.7 Flash
- DeepSeek V3.1 vs DeepSeek V3.1 Terminus
- DeepSeek V3.1 vs Mercury 2
- DeepSeek V3.1 vs Nova 2 Lite
- DeepSeek V3.1 vs R1 0528
- DeepSeek V3.1 vs Nemotron 3 Super
- DeepSeek V3.1 vs Qwen3 Coder 480B A35B
- DeepSeek V3.1 vs R1
- DeepSeek V3.1 vs GLM 4.6V
GPT-5 NanoView full model details- GPT-5 Nano vs Gemini 2.5 Flash Lite
- GPT-5 Nano vs GPT-6 Luna Pro
- GPT-5 Nano vs gpt-oss-120b
- GPT-5 Nano vs Gemma 4 31B
- GPT-5 Nano vs Gemma 4 26B A4B
- GPT-5 Nano vs gpt-oss-20b
- GPT-5 Nano vs GPT-4o-mini
- GPT-5 Nano vs Qwen3 235B A22B Instruct 2507
- GPT-5 Nano vs Mercury 2.5
- GPT-5 Nano vs Qwen3.5-9B
- GPT-5 Nano vs Nemotron 3.5 Lightning
- GPT-5 Nano vs GPT-4.1 Nano
- GPT-5 Nano vs Granite 4.2 8B
- GPT-5 Nano vs GLM 4.7 Flash
- GPT-5 Nano vs DeepSeek V3.2 Exp
- GPT-5 Nano vs Nemotron 3 Super
- GPT-5 Nano vs Mistral Small 4
- GPT-5 Nano vs Step 3.5 Flash
- GPT-5 Nano vs Mercury 2
Our take
GPT-5 Nano is 3.3x cheaper for a typical chat. DeepSeek V3.1 scores higher on the Artificial Analysis Intelligence Index (13.7 vs 13). GPT-5 Nano has the larger context window (400K vs 164K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is DeepSeek V3.1 or GPT-5 Nano cheaper?
GPT-5 Nano is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-5 Nano costs $0.05 per 1M input tokens and $0.40 per 1M output tokens, while DeepSeek V3.1 costs $0.25 per 1M input tokens and $0.95 per 1M output tokens.
Which has a bigger context window, DeepSeek V3.1 or GPT-5 Nano?
GPT-5 Nano supports up to 400K tokens of context, compared with 164K for DeepSeek V3.1.
Is DeepSeek V3.1 smarter than GPT-5 Nano?
On the Artificial Analysis Intelligence Index, DeepSeek V3.1 scores 13.7 and GPT-5 Nano scores 13, putting DeepSeek V3.1 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use DeepSeek V3.1 and GPT-5 Nano at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V3.1 and GPT-5 Nano answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V3.1 and GPT-5 Nano at the same time. Compare the answers side by side and keep the best one.