Claude 4.7 Opus vs GPT-5
Anthropic's Claude 4.7 Opus versus OpenAI GPT-5: reasoning benchmarks, context window, agentic coding, multimodal capabilities, and pricing comparison.
The top-tier model for demanding, long-horizon, low-error-tolerance work
Fable 5.1-level performance on most work, at 40% lower cost
Your default should be Opus 5.5: by Anthropic's own account it matches Fable 5.1 on most work, and it's clearly cheaper. But the official table and the "Choosing a model" guide also say the gap on the hardest, longest-horizon agentic work is still real. The rule: measure Opus 5.5 on your own task first, raise the effort level if needed, and move only the task classes that miss the bar to Fable 5.1. Doing the reverse means unnecessary cost — and a weekly allowance on the Max plan that burns down fast.
| Category | Claude Fable 5.1 | Claude Opus 5.5 |
|---|---|---|
| Performance | 9/10 | 8/10 |
| Ease of Learning | 7/10 | 8/10 |
| Ecosystem | 8/10 | 8/10 |
| Community | 7/10 | 7/10 |
| Job Market | 7/10 | 7/10 |
| Future-Proof | 8/10 | 9/10 |
# Python - Claude Fable 5.1: long-horizon agentic task, default high effort
import anthropic
client = anthropic.Anthropic()
response = client.messages.create(
model="claude-fable-5-1",
max_tokens=8000,
output_config={"effort": "high"},
tools=[
{"type": "bash_20250124", "name": "bash"},
{"type": "text_editor_20250728", "name": "str_replace_based_edit_tool"},
],
messages=[
{
"role": "user",
"content": (
"Refactor the payment reconciliation module across all "
"affected files, keep existing tests green, and explain "
"every non-obvious tradeoff you made."
),
}
],
)
for block in response.content:
if block.type == "thinking":
print("[thinking]", block.thinking[:200])
elif block.type == "text":
print("[answer]", block.text)
# Note: effort is set inside output_config, not as a flat effort= parameter.
# Fable 5.1 no longer supports forced tool-use via tool_choice; the model
# picks its own tools, otherwise the API returns a 400 invalid_request_error.# Python - Claude Opus 5.5: general task, default medium effort
import anthropic
client = anthropic.Anthropic()
response = client.messages.create(
model="claude-opus-5-5",
max_tokens=4096,
# if output_config is omitted, the default "medium" is used; if a hard eval
# class scores too low, try the higher levels:
# output_config={"effort": "xhigh"},
messages=[
{
"role": "user",
"content": "Summarize this quarter's support tickets into 5 themes with counts.",
}
],
)
for block in response.content:
if block.type == "text":
print(block.text)
# Note: thinking is always on in Opus 5.5; sending thinking={"type": "disabled"}
# returns a 400 invalid_request_error at every effort level. The legacy
# computer_20251124 computer-use tool is also no longer accepted on the
# Claude API or Google Cloud; move to the current tool version.Your default should be Opus 5.5: by Anthropic's own account it matches Fable 5.1 on most work, and it's clearly cheaper. But the official table and the "Choosing a model" guide also say the gap on the hardest, longest-horizon agentic work is still real. The rule: measure Opus 5.5 on your own task first, raise the effort level if needed, and move only the task classes that miss the bar to Fable 5.1. Doing the reverse means unnecessary cost — and a weekly allowance on the Max plan that burns down fast.
Get Free ConsultationFable 5.1 is the heavier-compute model, runs at a default effort of `high`, and is priced at $10/$50 (MTok); it's recommended for demanding reasoning and long-horizon agentic work. Opus 5.5 runs at a default effort of `medium`, costs $4/$20, and, by Anthropic's own account, matches Fable 5.1's performance on most tasks. Both share a 1M context window, 128K max output, and a June 2026 knowledge cutoff.