GPT-5.6 Sol vs GPT-5.6 Terra: AI Model Comparison
Compare OpenAI's flagship GPT-5.6 Sol and economy GPT-5.6 Terra on reasoning (57.4 vs 52.8), SWE-Bench coding, token pricing, and agent tools.
GPT-5.6 Sol
by OpenAI
OpenAI's flagship multimodal frontier model featuring ~1.8T Mixture-of-Experts architecture, top reasoning logic, and deep agent tool calling.
View model detailsGPT-5.6 Terra
by OpenAI
OpenAI's high-efficiency ~500B MoE model engineered for the Pareto frontier of reasoning accuracy and cost efficiency.
View model detailsOur Pick: GPT-5.6 Sol
GPT-5.6 Sol is the absolute quality leader for difficult reasoning and autonomous coding; GPT-5.6 Terra is the pragmatic choice for high-volume enterprise production.
Benchmark Performance
Side-by-side results on major industry benchmarks (higher is better)
Feature Comparison
Compare core capabilities and tool support.
| Feature | GPT-5.6 Sol | GPT-5.6 Terra |
|---|---|---|
| Text & Code Generation | ||
| Image & Vision Understanding | ||
| Video & Audio Generation | ||
| Web Browsing / Search | ||
| Code Execution Environment | ||
| Autonomous Computer Use | ||
| Long Context Window | ||
| Multi-step Agentic Workflows | ||
| Custom Bots / Extensions | ||
| Fine-tuning |
Use Case Ratings
How each model performs in real-world scenarios (1-10).
| Use Case | GPT-5.6 Sol | GPT-5.6 Terra |
|---|---|---|
| Coding & Development | 10 | 9 |
| Writing & Content Creation | 10 | 9 |
| Research & Analysis | 10 | 9 |
| Creative Tasks | 9 | 9 |
| Data Analysis | 10 | 9 |
| Conversation & Nuance | 9 | 9 |
| Education & Tutoring | 10 | 9 |
| Math & Science | 10 | 9 |
| Summarization | 10 | 9 |
Pricing Comparison(Per 1M Tokens)
| Model | Input Tokens | Output Tokens | Blended Cost | Monthly (100M tokens) |
|---|---|---|---|---|
| GPT-5.6 Sol | $2.50 | $10.00 | ~$4.38 | ~$438 |
| GPT-5.6 Terra | $1.00 | $4.50 | ~$1.88 | ~$188 |
GPT-5.6 Terra is 57% cheaper
For the same performance tier, GPT-5.6 Terra offers exactly half the API cost of GPT-5.6 Sol.
Pros & Cons
GPT-5.6 Sol
- Global #1 in composite quality score (57.4) and reasoning (56.8)
- Top SWE-Bench software engineering performance (50.6%)
- Higher AIME competition mathematics score (83.4% vs 71.5%)
- Advanced multi-agent orchestration and deterministic execution
- 3.1x higher API token pricing ($7.78/M vs $2.50/M blended)
- Slightly slower throughput (102 tok/s vs 119 tok/s)
GPT-5.6 Terra
- 68% lower API token costs ($2.50/M vs $7.78/M blended)
- 17% faster generation throughput (119 tok/s vs 102 tok/s)
- Shares identical 1.1M context window and OpenAI SDK compatibility
- Excellent 46.4% SWE-Bench score for routine programming
- Slightly lower accuracy on Olympiad math (71.5% vs 83.4% AIME)
- LMSYS Arena Elo of 1,185 vs 2,134 for Sol
Frequently Asked Questions
How should I structure my API routing between Sol and Terra?
Use a router pattern: send 85% of incoming user requests (formatting, summarization, simple Q&A) to GPT-5.6 Terra, and automatically route the top 15% most complex multi-step reasoning, mathematical calculations, and code refactoring queries to GPT-5.6 Sol.
Do both models use the same OpenAI API endpoints?
Yes. Both models use the standard OpenAI /chat/completions and Assistants v2 endpoints with identical request payloads.
Final Takeaway
Choose GPT-5.6 Sol for high-stakes multi-agent orchestration, complex mathematical proofs, and critical architectural refactoring. Choose GPT-5.6 Terra for high-volume customer-facing agents, data extraction pipelines, and standard coding tasks.
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