GPT-5.6 Terra Pro (batch) is $0.6 cheaper per 1M input tokens (37.5% lower; 1.6x difference).
API cost decision in 10 seconds
NewGrok 4.7 vs GPT-5.6 Terra Pro (batch)
The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.
Both models are estimated at $4 for the standard 1M input plus 500K output workload.
Cost-first pickTie
Context-first pickGPT-5.6 Terra Pro (batch)
Sample savings$00%
10x traffic gap$0
Context-window winner: GPT-5.6 Terra Pro (batch). Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors GPT-5.6 Terra Pro (batch), balanced workload favors Grok 4.7, and output-heavy chatbot favors Grok 4.7.
| Workload shape | Token mix | Better pick | Grok 4.7 | GPT-5.6 Terra Pro (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-5.6 Terra Pro (batch) | $10.4 | $8 |
| Balanced workload | 1M input + 1M output | Grok 4.7 | $6.4 | $7 |
| Output-heavy chatbot | 1M input + 5M output | Grok 4.7 | $25.6 | $31 |
Grok 4.7 is $1.2 cheaper per 1M output tokens (20% lower; 1.25x difference).
GPT-5.6 Terra Pro (batch) has 550K more context (2.1x larger).
Both models have the same estimated cost for the standard 1M input plus 500K output workload: $4.
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
GPT-5.6 Terra Pro (batch) has the lower input price; Grok 4.7 has the lower output price; GPT-5.6 Terra Pro (batch) offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is tied.
For a 1M input token plus 500K output token workload, the estimated API cost is $4 for Grok 4.7 and $4 for GPT-5.6 Terra Pro (batch).
Choose Grok 4.7 when you care most about lower output-token price.
Choose GPT-5.6 Terra Pro (batch) when you care most about lower input-token price, and larger context window.
- Both models are estimated at $4 for the standard 1M input plus 500K output workload.
- Both models have the same estimated cost for the standard 1M input plus 500K output workload: $4.
- GPT-5.6 Terra Pro (batch) is $0.6 cheaper per 1M input tokens (37.5% lower; 1.6x difference).
- Grok 4.7 is $1.2 cheaper per 1M output tokens (20% lower; 1.25x difference).
- GPT-5.6 Terra Pro (batch) has 550K more context (2.1x larger).
| Feature | NewGrok 4.7 (SpaceXAI) | GPT-5.6 Terra Pro (batch) (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.6 | $1 |
| Completion Price per 1M tokens | $4.8 | $6 |
| Sample Workload Cost 1M input + 500K output | $4 | $4 |
| Context Window | 500K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Tie | Both models are estimated at $4 for the standard 1M input plus 500K output workload. |
| High-volume input processing | GPT-5.6 Terra Pro (batch) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Grok 4.7 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.6 Terra Pro (batch) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Grok Build 0.1 can replace Grok 4.7 when lower sample workload cost matters most: $2.
- Grok 4.3 (batch) can replace Grok 4.7 when lower sample workload cost matters most: $2.
- Grok 4.3 can replace Grok 4.7 when lower sample workload cost matters most: $2.5.
- Grok 4.20 Multi-Agent can replace Grok 4.7 when lower sample workload cost matters most: $2.5.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- GLM 5.3 Flash offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.2 sample workload cost.
- Qwen3.8 Max (0902) · Qwen · #1
- DeepSeek V4.1 Flash · DeepSeek · #2
- GLM 5.3 Flash · Z.ai · #3
- Hy4 preview · Tencent · #4
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Open OpenAI modelsGrok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and...
GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode