GPT-6.1 Sol vs Claude Opus 5.5
GPT-6.1 Sol vs Claude Opus 5.5: official per-token prices (Sol is about half of Opus), 1M context, the long-context surcharge above 272K tokens, cache pricing, and which to pick for coding agents and batch work. Prices on this page come live from the CallAI gateway.
GPT-6.1 Sol
Claude Opus 5.5
OpenAI's docs give no benchmark table for GPT-6.1 Sol, and Anthropic's launch table doesn't include it, so there is no like-for-like official comparison yet. Pricing is clear: Sol lists at about half of Opus 5.5, and even with the surcharge above 272K its $15 output price stays below Opus at $20. Start with GPT-6.1 Sol for high-volume coding agents and document work; for complex multi-step work in terminal agents like Claude Code, Opus 5.5 has Anthropic's official Terminal-Bench 4.0 result behind it. Run both on your own tasks with one key before committing.
Official specs and billing
| Benchmark | GPT-6.1 Sol | Claude Opus 5.5 | Winner | Notes |
|---|---|---|---|---|
| List input / output price (per 1M tokens) | $2 / $10 | $4 / $20 | GPT-6.1 Sol | Vendor list prices as of 2026-10-22 |
| Cache read (per 1M tokens) | $0.10 | $0.20 | GPT-6.1 Sol | Applies to repeated long system prompts |
| Context window | 1,050,000 | 1,000,000 | Tie | GPT-6.1 Sol accepts up to 922K input tokens per request |
| Price above 272K input tokens | $4 / $15 | $4 / $20 | GPT-6.1 Sol | Sol doubles input and adds 1.5x output, still below Opus |
GPT-6.1 Sol strengths & weaknesses
- About half the list price of Opus 5.5 ($2 / $10 vs $4 / $20 per 1M tokens)
- OpenAI positions it as near-Astra performance at lower cost, for agentic coding, computer use and document-heavy work
- 128K max output; five reasoning levels from low to max
- Knowledge cutoff April 30, 2026
- Prompts over 272K input tokens are billed at 2x input and cache, 1.5x output for the whole request
- Text and image input only
- On the OpenAI API directly, Chat Completions has no tool calling (use the Responses API)
Claude Opus 5.5 strengths & weaknesses
- Terminal-Bench 4.0 at 66.4% in Anthropic's launch table, above GPT-6 Astra (57.9%) in the same table
- CursorBench 4.0 57.8% and GDPval-AA v2.1 1846, both the top scores in that table
- Built for multi-step changes in large codebases and long-horizon agents
- Twice the list price of GPT-6.1 Sol
- Anthropic's launch table doesn't include GPT-6.1 Sol (it compares GPT-6 Astra and GPT-5.6 Sol)
Scenario recommendations
| Scenario | Pick | Why |
|---|---|---|
| High-volume document processing, summaries, extraction | GPT-6.1 Sol | About half the price, and cache reads are half as well — the gap grows with volume. |
| Terminal agents and multi-step refactors in Claude Code / Cursor | Claude Opus 5.5 | Anthropic's official Terminal-Bench 4.0 66.4% and CursorBench 4.0 57.8% back it up. |
| Very long prompts (over 272K tokens) | GPT-6.1 Sol (mind the surcharge) | With the surcharge, input matches Opus at $4 and output stays cheaper at $15; max input is 922K. |
Python dual-model gateway sample
OpenAI-compatibleOne Base URL and API key — switch models with the model parameter only:
import os
from openai import OpenAI
# One CallAI key — route freely between GPT-6.1 Sol and Claude Opus 5.5
client = OpenAI(
api_key="sk-live-your-callai-key",
base_url="https://api.callaiapi.com/v1"
)
def query_model(model_id: str, prompt: str):
response = client.chat.completions.create(
model=model_id,
messages=[{"role": "user", "content": prompt}],
stream=True
)
for chunk in response:
print(chunk.choices[0].delta.content or "", end="", flush=True)
print("\n" + "="*40 + "\n")
# Model 1: GPT-6.1 Sol
print(">>> Output from: GPT-6.1 Sol")
query_model("gpt-6.1-sol", "Briefly analyze the trade-offs of this architecture")
# Model 2: Claude Opus 5.5
print(">>> Output from: Claude Opus 5.5")
query_model("claude-opus-5.5", "Briefly analyze the trade-offs of this architecture")FAQ
How much do GPT-6.1 Sol and Claude Opus 5.5 cost per token?
List prices as of 2026-10-22: GPT-6.1 Sol is $2 input and $10 output per 1M tokens (2x input and 1.5x output above 272K input tokens); Claude Opus 5.5 is $4 input and $20 output per 1M tokens. The cards at the top show the current CallAI price.
Why are there no GPT-6.1 Sol benchmarks here?
OpenAI's developer docs list specs and prices but no scores; figures circulating online are third-party readings of launch charts and don't agree. We only publish numbers with a primary source and will add Sol's once OpenAI publishes verifiable ones.
How do I call GPT-6.1 Sol and Claude Opus 5.5 through one API?
Create a key in the CallAI console, set the OpenAI SDK base_url to https://api.callaiapi.com/v1 and use the model name shown on the cards. Pay as you go from $1; balance never expires.