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.
Quick Verdict
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.
Within OpenAI's next-generation GPT-5.6 family, developers must frequently choose between the flagship powerhouse GPT-5.6 Sol and the cost-optimized workhorse GPT-5.6 Terra. GPT-5.6 Sol commands the #1 position on global reasoning benchmarks (57.4) and 83.4% AIME competition math, while GPT-5.6 Terra delivers 46.4% SWE-Bench software engineering at a 68% lower API token price ($2.50/M vs $7.78/M).
Models at a Glance
GPT-5.6 Sol
by OpenAI
$20/month
ChatGPT Plus / Team
GPT-5.6 Terra
by OpenAI
$20/month
ChatGPT Plus
Capabilities Comparison
| Capability | GPT-5.6 Sol | GPT-5.6 Terra |
|---|---|---|
| Text Generation | ||
| Code Generation | ||
| Image Generation | ||
| Vision / Image Understanding | ||
| Video Generation | ||
| Audio / Voice Generation | ||
| Web Browsing / Search | ||
| Code Execution | ||
| Function Calling | ||
| Structured Output (JSON) | ||
| Advanced Reasoning (CoT) | ||
| File Upload & Analysis | ||
| Fine-Tuning | ||
| Plugins / Extensions | ||
| Memory / History | ||
| Agentic Capabilities | ||
| Custom Bots |
Use Case Ratings
GPT-5.6 Sol
GPT-5.6 Terra
Benchmark Scores
| Benchmark | GPT-5.6 Sol | GPT-5.6 Terra |
|---|---|---|
| MMLU (Knowledge) | 91.8% | 88.6% |
| MMLU-Pro | 84.2% | 79.4% |
| HumanEval (Coding) | 94.6% | 89.5% |
| GPQA (Graduate Q&A) | 74.8% | 65.2% |
| MATH (Competition) | 94.0% | 86.4% |
| GSM8K (Grade Math) | 98.2% | 95.1% |
| ARC (Reasoning) | 98.5% | 95.8% |
| HellaSwag | 97.6% | 94.6% |
| MT-Bench | 9.62 | 9.18 |
| LMSYS Arena ELO | 2134 | 1185 |
| SWE-Bench | 50.6% | 46.4% |
| AIME (Advanced Math) | 83.4% | 71.5% |
Feature-by-Feature Comparison
| Feature | GPT-5.6 Sol | GPT-5.6 Terra |
|---|---|---|
| Composite Quality Score | 57.4 (Rank #1) | 52.8 (Rank #9) |
| Blended Price / 1M Tokens | $7.78 | $2.50 (3.1x cheaper) |
| SWE-Bench Verified Coding | 50.6% | 46.4% |
| AIME Competition Mathematics | 83.4% | 71.5% |
Pricing Comparison
| Plan | GPT-5.6 Sol | GPT-5.6 Terra |
|---|---|---|
| Free Version | ||
| Subscription | $20/month | $20/month |
| API Input (1M tokens) | $2.50 | $1.00 |
| API Output (1M tokens) | $10.00 | $4.50 |
Pros & Cons
GPT-5.6 Sol
✅ Pros
- 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
❌ Cons
- 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
✅ Pros
- 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
❌ Cons
- Slightly lower accuracy on Olympiad math (71.5% vs 83.4% AIME)
- LMSYS Arena Elo of 1,185 vs 2,134 for Sol
🏆 Who Wins in Each Category?
Apex Reasoning & Math
GPT-5.6 Sol scores 83.4% on AIME math and 56.8 on reasoning.
Cost & Throughput
GPT-5.6 Terra is 68% cheaper and 17% faster.
Multi-Agent Workflows
Sol provides zero-error tool parameter resolution for deep agent trees.
Our 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.
Try GPT-5.6 SolFrequently 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.
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