Choose DeepSeek: DeepSeek V3.2 if…
- you need log-probabilities — to read token confidence for classification and scoring; OpenAI: gpt-oss-120b (batch) does not advertise it
- you want the newer model — released 2025-12-01, 4 months after the other
DeepSeek: DeepSeek V3.2 vs OpenAI: gpt-oss-120b (batch)
Neither wins outright: DeepSeek: DeepSeek V3.2 is the pick when you need log-probabilities, OpenAI: gpt-oss-120b (batch) when cost matters at scale.
Key numbers
| Spec | DeepSeek: DeepSeek V3.2 | OpenAI: gpt-oss-120b (batch) |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Input price (per 1M tokens) | $0.26 | $0.03 |
| Output price (per 1M tokens) | $0.80 | $0.14 |
| Blended price (3:1 input/output) | $0.39 | $0.06 |
| Cheaper than … of all models we track | 58% | 87% |
| Context window | 164K tokens (~246 pages) | 131K tokens (~197 pages) |
| Larger context than … of all models | 36% | 23% |
| Max output per response | 147K tokens (~110,600 words) | 118K tokens (~88,500 words) |
| Input types | text | text |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2025-12-01 | 2025-08-05 |
Advertisement
What it costs for real workloads
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | DeepSeek: DeepSeek V3.2 | OpenAI: gpt-oss-120b (batch) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $35.43 | $4.94 | OpenAI: gpt-oss-120b (batch) saves $30.49 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $39.08 | $4.91 | OpenAI: gpt-oss-120b (batch) saves $34.17 |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | $40.68 | $5.18 | OpenAI: gpt-oss-120b (batch) saves $35.50 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $25.52 | $3.18 | OpenAI: gpt-oss-120b (batch) saves $22.34 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $13.75 | $1.62 | OpenAI: gpt-oss-120b (batch) saves $12.13 |
Capabilities side by side
| Capability | DeepSeek: DeepSeek V3.2 | OpenAI: gpt-oss-120b (batch) | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | — | — | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | — | — | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | — | answer from live web results |
| Seed (reproducible sampling) | ✓ Yes | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | ✓ Yes | — | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Price history
- DeepSeek: DeepSeek V3.2: output price raised 48% ($0.42 → $0.80/1M) on 2026-10-11 (9 price changes since 2026-03-10).
- OpenAI: gpt-oss-120b (batch): input price cut 80% ($0.15 → $0.03/1M), output price cut 77% ($0.60 → $0.14/1M) on 2026-09-24.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-10-11 | DeepSeek: DeepSeek V3.2 | $0.26 | $0.80 |
| 2026-10-08 | DeepSeek: DeepSeek V3.2 | $0.26 | $0.42 |
| 2026-09-28 | DeepSeek: DeepSeek V3.2 | $0.28 | $0.42 |
| 2026-09-24 | OpenAI: gpt-oss-120b (batch) | $0.03 | $0.14 |
| 2026-08-31 | DeepSeek: DeepSeek V3.2 | $0.27 | $0.40 |
| 2026-08-22 | DeepSeek: DeepSeek V3.2 | $0.26 | $0.38 |
| 2026-08-10 | DeepSeek: DeepSeek V3.2 | $0.27 | $0.40 |
| 2026-08-08 | DeepSeek: DeepSeek V3.2 | $0.26 | $0.38 |
Which should you choose?
Choose OpenAI: gpt-oss-120b (batch) if…
- cost matters at scale — it is 86% cheaper on a typical 3:1 input/output mix ($4.94 vs $35.43 a month for 50,000 support chats)
Frequently asked questions
Is DeepSeek: DeepSeek V3.2 better than OpenAI: gpt-oss-120b (batch)?
Neither wins outright: DeepSeek: DeepSeek V3.2 is the pick when you need log-probabilities, OpenAI: gpt-oss-120b (batch) when cost matters at scale. In short: DeepSeek: DeepSeek V3.2 when you need log-probabilities, you want the newer model; OpenAI: gpt-oss-120b (batch) when cost matters at scale.
Which is cheaper, DeepSeek: DeepSeek V3.2 or OpenAI: gpt-oss-120b (batch)?
OpenAI: gpt-oss-120b (batch) is cheaper: $0.06 vs $0.39 per 1M tokens at a typical 3:1 input/output mix, 86% less. For 50,000 support conversations a month that is $4.94 against $35.43.
How much do DeepSeek: DeepSeek V3.2 and OpenAI: gpt-oss-120b (batch) cost per million tokens?
DeepSeek: DeepSeek V3.2 costs $0.26 per 1M input tokens and $0.80 per 1M output tokens; OpenAI: gpt-oss-120b (batch) costs $0.03 input and $0.14 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, DeepSeek: DeepSeek V3.2 or OpenAI: gpt-oss-120b (batch)?
DeepSeek: DeepSeek V3.2: 164K tokens, about 246 pages, against 131K (about 197 pages) for OpenAI: gpt-oss-120b (batch).
Do DeepSeek: DeepSeek V3.2 and OpenAI: gpt-oss-120b (batch) support function calling and JSON output?
Tool calling — DeepSeek: DeepSeek V3.2: yes, OpenAI: gpt-oss-120b (batch): yes. JSON-schema structured output — DeepSeek: DeepSeek V3.2: yes, OpenAI: gpt-oss-120b (batch): yes.
Can DeepSeek: DeepSeek V3.2 or OpenAI: gpt-oss-120b (batch) read images?
Neither accepts image input — both are text-in models.
Is DeepSeek: DeepSeek V3.2 or OpenAI: gpt-oss-120b (batch) free to use?
No free variant is listed for either; both are pay-per-token.
What is the maximum output length of DeepSeek: DeepSeek V3.2 and OpenAI: gpt-oss-120b (batch)?
DeepSeek: DeepSeek V3.2 can write up to 147K tokens (about 110,600 words) per response; OpenAI: gpt-oss-120b (batch) up to 118K (about 88,500 words).
When were DeepSeek: DeepSeek V3.2 and OpenAI: gpt-oss-120b (batch) released?
DeepSeek: DeepSeek V3.2 was listed on 2025-12-01; OpenAI: gpt-oss-120b (batch) on 2025-08-05.
Has the price of DeepSeek: DeepSeek V3.2 or OpenAI: gpt-oss-120b (batch) changed?
DeepSeek: DeepSeek V3.2: output price raised 48% ($0.42 → $0.80/1M) on 2026-10-11 (9 price changes since 2026-03-10). OpenAI: gpt-oss-120b (batch): input price cut 80% ($0.15 → $0.03/1M), output price cut 77% ($0.60 → $0.14/1M) on 2026-09-24.
About the two models
DeepSeek: DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Full DeepSeek: DeepSeek V3.2 specs →OpenAI: gpt-oss-120b (batch)
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. It activates 5.1B parameters per forward pass and is optimized...
Full OpenAI: gpt-oss-120b (batch) specs →