GPT-5.6 Terra vs DeepSeek V4 Pro
Head-to-head specifications
| Metric | GPT-5.6 Terra | DeepSeek V4 Pro | Difference |
|---|---|---|---|
| Intelligence Index | 55.0 | 44.0 | +25.0% |
| Coding Index | 76.7 | 59.4 | +29.1% |
| Agentic Index | 47.4 | 36.4 | — |
| Context window | 1M tokens | 1M tokens | — |
| Blended price ($/1M tokens) | $1.14 | $0.18 | +533.3% |
| Output speed (tokens/s) | 138 | 63 | +119.0% |
| Access | Proprietary API | Open weights | — |
- GPT-5.6 Terra leads overall capability (Intelligence Index 55.0 vs 44.0).
- DeepSeek V4 Pro is the cheaper model to run at $0.18/1M blended tokens — about 6.3× cheaper.
Verdict: GPT-5.6 Terra or DeepSeek V4 Pro?
GPT-5.6 Terra advantages
- General intelligence (+20%)
- Coding ability (+23%)
- Agentic task performance (+23%)
- Output speed (+54%)
DeepSeek V4 Pro advantages
- Affordability (+84%)
Which should you choose?
- Choose the GPT-5.6 Terra if you need the strongest overall reasoning and accuracy.
- Choose the DeepSeek V4 Pro if you want the lowest cost per token at scale.
- Choose the GPT-5.6 Terra if coding and software development are your main workload.
Value for money
DeepSeek V4 Pro offers more intelligence per dollar (5.1× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use. It is also open-weight, so self-hosting can reduce costs further at scale.
GPT-5.6 Terra vs DeepSeek V4 Pro: which should you choose?
GPT-5.6 Terra — OpenAI multimodal model with an Intelligence Index of 55, a 1M-token context window and a blended price of $1.14/1M tokens.
DeepSeek V4 Pro — DeepSeek text model with an Intelligence Index of 44, a 1M-token context window and a blended price of $0.18/1M tokens (open weights).
GPT-5.6 Terra vs DeepSeek V4 Pro: GPT-5.6 Terra scores higher on the Intelligence Index. GPT-5.6 Terra leads overall capability (Intelligence Index 55.0 vs 44.0). DeepSeek V4 Pro is the cheaper model to run at $0.18/1M blended tokens — about 6.3× cheaper.
Capability: intelligence, coding and agentic work
On the composite Intelligence Index the GPT-5.6 Terra scores 55.0 versus 44.0. For software development, the Coding Index puts GPT-5.6 Terra ahead (76.7 vs 59.4). On agentic, multi-step tool-use tasks, GPT-5.6 Terra measures stronger. Composite indices summarize many evaluations, but always test on your own workload before committing.
Context window and speed
The GPT-5.6 Terra accepts up to 1 million tokens per request, which sets how much documentation, transcript or code it can reason over at once. In measured throughput, GPT-5.6 Terra generates faster (138 vs 63 tokens/s), which matters for interactive apps and high-volume pipelines.
Pricing and access
At blended per-token rates, DeepSeek V4 Pro is the cheaper model to run ($0.18 vs $1.14 per 1M tokens). GPT-5.6 Terra is proprietary api and DeepSeek V4 Pro is open weights. Open-weight models can be self-hosted, trading per-call cost for infrastructure you manage; for production also weigh rate limits, throughput and data-residency requirements.
The verdict
Both are credible choices in the ai model comparison space; the specification table above lays out every metric so you can weigh the trade-offs that matter to you. Pick the one whose strengths line up with how you will actually use it.
Frequently asked questions
Is the GPT-5.6 Terra better than the DeepSeek V4 Pro?
GPT-5.6 Terra takes the overall edge, though DeepSeek V4 Pro wins in specific areas worth weighing. GPT-5.6 Terra leads overall capability (Intelligence Index 55.0 vs 44.0).
What is the main difference between the GPT-5.6 Terra and the DeepSeek V4 Pro?
GPT-5.6 Terra leads overall capability (Intelligence Index 55.0 vs 44.0). DeepSeek V4 Pro is the cheaper model to run at $0.18/1M blended tokens — about 6.3× cheaper.
Which is better value?
DeepSeek V4 Pro offers more intelligence per dollar (5.1× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use. It is also open-weight, so self-hosting can reduce costs further at scale.
Which should I choose?
Choose the GPT-5.6 Terra if you need the strongest overall reasoning and accuracy. Choose the DeepSeek V4 Pro if you want the lowest cost per token at scale.
Methodology
Large language models are compared on independent leaderboard metrics: an Intelligence Index (a composite of reasoning and knowledge evaluations), Coding and Agentic indices where measured, community arena Elo, maximum context window, a blended API price per million tokens (weighted across cache-hit, input and output rates), and measured output speed in tokens per second. Where a model ships multiple reasoning-effort variants, we report its strongest variant. Benchmarks capture only part of real-world quality, which also depends on tool use, latency, safety and task fit — and this space moves quickly, so figures reflect the leaderboard snapshot on the page date.