AI model comparison
gpt-oss-120b vs DeepSeek V3 0324
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
gpt-oss-120b
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 131K
DeepSeek
DeepSeek V3 0324
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team.
- Input / 1M
- $0.29
- Output / 1M
- $1.14
- Context
- 164K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
gpt-oss-120b
1.9x cheaper for a typical chat
Higher intelligence score
gpt-oss-120b
11.6 vs 9.7 on Artificial Analysis
Larger context window
DeepSeek V3 0324
164K vs 131K tokens
Newer release
gpt-oss-120b
Released August 5, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
gpt-oss-120b vs DeepSeek V3 0324 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.29 |
| Output tokensPer 1M tokens | $0.60 | $1.14 |
| Cached input (read)Per 1M tokens | $0.08 | $0.11 |
| Cache writePer 1M tokens | Not available | Not available |
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
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 131K tokens | 164K tokens |
| Max output | 66K tokens | 115K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | High, Medium, Low | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | August 5, 2025 | March 24, 2025 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
gpt-oss-120b is 1.9x cheaper for a typical chat. gpt-oss-120b scores higher on the Artificial Analysis Intelligence Index (11.6 vs 9.7). DeepSeek V3 0324 has the larger context window (164K vs 131K 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 gpt-oss-120b or DeepSeek V3 0324 cheaper?
gpt-oss-120b is cheaper for a typical chat (2K input tokens and 500 output tokens). gpt-oss-120b costs $0.15 per 1M input tokens and $0.60 per 1M output tokens, while DeepSeek V3 0324 costs $0.29 per 1M input tokens and $1.14 per 1M output tokens.
Which has a bigger context window, gpt-oss-120b or DeepSeek V3 0324?
DeepSeek V3 0324 supports up to 164K tokens of context, compared with 131K for gpt-oss-120b.
Is gpt-oss-120b smarter than DeepSeek V3 0324?
On the Artificial Analysis Intelligence Index, gpt-oss-120b scores 11.6 and DeepSeek V3 0324 scores 9.7, putting gpt-oss-120b ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use gpt-oss-120b and DeepSeek V3 0324 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see gpt-oss-120b and DeepSeek V3 0324 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to gpt-oss-120b and DeepSeek V3 0324 at the same time. Compare the answers side by side and keep the best one.