Choose Claude Opus 4.7 When
- A 53.5 Intelligence Index and 52.5 Coding Index in TokenHub’s max-effort profile
- $5 input and $25 output per million tokens
- A 1M context window, 128K maximum output, and text, image, and PDF input
Claude Opus 4.7 vs Claude Sonnet 4.6
Claude Opus 4.7 from Anthropic and Claude Sonnet 4.6 from Anthropic are shown side by side so you can compare pricing, model IDs, context and output limits, modalities, tool use, release details, and benchmark results where data is available.
Overall Recommendation
Claude Opus 4.7 is the capability default, with higher Intelligence and Coding indexes and twice the maximum output. Choose Claude Sonnet 4.6 when 40% lower token prices and balanced production performance matter more.
Recommendation based on Claude Opus 4.7 (Adaptive Reasoning, Max Effort) vs Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort).
Comparison Highlights
Claude Opus 4.7Anthropic
Claude Sonnet 4.6Anthropic
Best For
Advanced engineeringautonomous agentsdifficult knowledge work
Balanced codingagentsproduction knowledge work
How To Read ItUse-case synthesis from model capabilities and positioning.
Workload Fit
EngineeringAutonomyEnterprise
CodingAgentsProduction
How To Read ItThe workloads each model is most directly shaped for.
Input
$5/M
$3/MEdge
How To Read ItLower is better when prompts or retrieval payloads are large.
Output
$25/M
$15/MEdge
How To Read ItLower is better for reasoning-heavy or long-generation traffic.
Context length
1M
1M
How To Read ItHigher is better for repositories, retrieval packs, and transcripts.
Input modalities
Image, PDF, Text
Image, PDF, Text
How To Read ItBroader input support reduces the need for separate vision or video models.
Model Selection Guide
Choose Claude Sonnet 4.6 When
- A 47.2 Intelligence Index and 50.9 Coding Index in TokenHub’s max-effort profile
- $3 input and $15 output per million tokens
- A 1M context window, 64K maximum output, and text, image, and PDF input
Basic Information
Claude Opus 4.7Anthropic
Claude Sonnet 4.6Anthropic
Name
Claude Opus 4.7Claude Opus 4.7
Model id
Claude Opus 4.7claude-opus-4.7
Intro
Claude Opus 4.7Claude Opus 4.7 is described by Anthropic as a strong upgrade for advanced software engineering and difficult long-running tasks. Official messaging highlights the model’s ability to handle complicated work and verify its own outputs. It should be described around sustained engineering judgment rather than generic writing quality.
Author
Claude Opus 4.7Anthropic
Released date
Claude Opus 4.72026-04-16
Context length
Claude Opus 4.71M
Max output tokens
Claude Opus 4.7128K
Name
Claude Sonnet 4.6Claude Sonnet 4.6
Model id
Claude Sonnet 4.6claude-sonnet-4.6
Intro
Claude Sonnet 4.6Claude Sonnet 4.6 is presented as a broad upgrade for coding, computer use, long-context reasoning, agent planning, knowledge work, and design. Anthropic materials describe it as a strong middle tier with 1M-context beta support and better agent behavior. It is suited to teams that want near-frontier capability with more practical cost and latency than Opus.
Author
Claude Sonnet 4.6Anthropic
Released date
Claude Sonnet 4.62026-02-17
Context length
Claude Sonnet 4.61M
Max output tokens
Claude Sonnet 4.664K
Name
Claude Opus 4.7Claude Opus 4.7
Name
Claude Sonnet 4.6Claude Sonnet 4.6
Model id
Claude Opus 4.7claude-opus-4.7
Model id
Claude Sonnet 4.6claude-sonnet-4.6
Intro
Claude Opus 4.7Claude Opus 4.7 is described by Anthropic as a strong upgrade for advanced software engineering and difficult long-running tasks. Official messaging highlights the model’s ability to handle complicated work and verify its own outputs. It should be described around sustained engineering judgment rather than generic writing quality.
Intro
Claude Sonnet 4.6Claude Sonnet 4.6 is presented as a broad upgrade for coding, computer use, long-context reasoning, agent planning, knowledge work, and design. Anthropic materials describe it as a strong middle tier with 1M-context beta support and better agent behavior. It is suited to teams that want near-frontier capability with more practical cost and latency than Opus.
Author
Claude Opus 4.7Anthropic
Author
Claude Sonnet 4.6Anthropic
Released date
Claude Opus 4.72026-04-16
Released date
Claude Sonnet 4.62026-02-17
Context length
Claude Opus 4.71M
Context length
Claude Sonnet 4.61M
Max output tokens
Claude Opus 4.7128K
Max output tokens
Claude Sonnet 4.664K
Pricing
Claude Opus 4.7Anthropic
Claude Sonnet 4.6Anthropic
Input
Claude Opus 4.7$5/M
Output
Claude Opus 4.7$25/M
Cached input
Claude Opus 4.7$0.5/M
Input
Claude Sonnet 4.6$3/M
Output
Claude Sonnet 4.6$15/M
Cached input
Claude Sonnet 4.6$0.3/M
Input
Claude Opus 4.7$5/M
Input
Claude Sonnet 4.6$3/M
Output
Claude Opus 4.7$25/M
Output
Claude Sonnet 4.6$15/M
Cached input
Claude Opus 4.7$0.5/M
Cached input
Claude Sonnet 4.6$0.3/M
Capabilities
Claude Opus 4.7Anthropic
Claude Sonnet 4.6Anthropic
Reasoning
Claude Opus 4.7
Knowledge
Claude Opus 4.72026-01-31
Attachment
Claude Opus 4.7
Input modalities
Claude Opus 4.7Image, PDF, Text
Output modalities
Claude Opus 4.7Text
Temperature
Claude Opus 4.7
Tool use
Claude Opus 4.7
Reasoning
Claude Sonnet 4.6
Knowledge
Claude Sonnet 4.62025-08-31
Attachment
Claude Sonnet 4.6
Input modalities
Claude Sonnet 4.6Image, PDF, Text
Output modalities
Claude Sonnet 4.6Text
Temperature
Claude Sonnet 4.6
Tool use
Claude Sonnet 4.6
Reasoning
Claude Opus 4.7
Reasoning
Claude Sonnet 4.6
Knowledge
Claude Opus 4.72026-01-31
Knowledge
Claude Sonnet 4.62025-08-31
Attachment
Claude Opus 4.7
Attachment
Claude Sonnet 4.6
Input modalities
Claude Opus 4.7Image, PDF, Text
Input modalities
Claude Sonnet 4.6Image, PDF, Text
Output modalities
Claude Opus 4.7Text
Output modalities
Claude Sonnet 4.6Text
Temperature
Claude Opus 4.7
Temperature
Claude Sonnet 4.6
Tool use
Claude Opus 4.7
Tool use
Claude Sonnet 4.6
Benchmark
Claude Opus 4.7Anthropic
Claude Sonnet 4.6Anthropic
Intelligence
wins53.5
Coding
wins52.5
Intelligence
47.2
Coding
50.9
Knowledge & Reasoning
GPQA
wins91.4%
HLE
wins39.6%
GPQA
87.5%
HLE
30%
Coding
SciCode
wins54.5%
Terminal-Bench Hard
51.5%
SciCode
46.8%
Terminal-Bench Hard
wins53.0%
Instruction Following & Agent Tasks
IFBench
wins58.6%
AA-LCR
70.3%
Tau2
wins88.6%
IFBench
56.6%
AA-LCR
wins70.7%
Tau2
75.7%
FAQ
Which model is better, Claude Opus 4.7 or Claude Sonnet 4.6?
+
Claude Opus 4.7 and Claude Sonnet 4.6 should be compared by workload. This page places price, context, output limits, capabilities, and benchmark data side by side.
Is Claude Sonnet 4.6 cheaper than Claude Opus 4.7?
+
Use the pricing rows above to compare input, output, and cached input prices for Claude Opus 4.7 and Claude Sonnet 4.6.
Which model supports a longer context length?
+
Claude Opus 4.7 lists 1M context length, while Claude Sonnet 4.6 lists 1M.
Can I access both models through TokenHub?
+
If both models are available in the TokenHub catalog, you can route requests to Claude Opus 4.7 and Claude Sonnet 4.6 through the TokenHub API.