Interactive Benchmark Comparison
Select a benchmark to compare Claude Opus 4.7 against leading models. All scores from official/peer-reviewed sources, April 2026.
Benchmark Highlights — Claude Opus 4.7
Where Opus 4.7 ranks #1 among all tested models (April 2026)
Benchmark Claude Opus 4.7 2nd Place Gap Category
SWE-bench Verified 74.2% GPT-5.4 · 65.8% +8.4% Coding
HumanEval 96.1% GPT-5.4 · 94.5% +1.6% Coding
MMLU 93.4% GPT-5.4 · 92.8% +0.6% General Knowledge
MATH 91.8% GPT-5.4 · 90.5% +1.3% Mathematics
TAU-bench 71.5% GPT-5.4 · 66.2% +5.3% Agentic Tool Use
GPQA Diamond 78.3% GPT-5.4 · 76.8% +1.5% Science Reasoning
What's New in Claude Opus 4.7
Released April 16, 2026 — Anthropic's most capable model to date.
NEW
🤖

Extended Thinking v2

Second-generation reasoning chains with higher transparency. Configurable thinking budgets up to 128K tokens. Visible step-by-step reasoning for auditable decisions.

NEW

Parallel Tool Execution

Execute up to 8 tool calls simultaneously per turn — double Opus 4.6's limit. Dramatically faster agentic pipelines where tasks can run concurrently.

NEW
🧠

Built-in Memory API

Persistent conversation memory across sessions for API users. Custom preference and style retention without external vector stores.

IMPROVED
💻

Coding Performance

SWE-bench up 9.7 points to 74.2% — resolving real GitHub issues end-to-end. Best-in-class for large codebase navigation, multi-file edits, and debugging.

IMPROVED
📄

64K Max Output

Maximum output doubled from 32K to 64K tokens. Generate entire codebases, long-form reports, or multi-chapter documents in a single response.

IMPROVED
🎯

Instruction Following

Better handling of complex, multi-constraint prompts. Fewer unnecessary refusals. Higher alignment with user intent on nuanced tasks.

IMPROVED
🖼️

Multimodal Understanding

Native PDF analysis with full layout awareness. Enhanced chart/diagram comprehension. Improved handwriting recognition and image reasoning.

IMPROVED

40% Fewer Hallucinations

Significant reduction in factual errors vs Opus 4.6. Better calibrated confidence and more honest "I don't know" responses when uncertain.

Opus 4.7 vs Opus 4.6 — Detailed Diff
MetricOpus 4.6Opus 4.7Change
SWE-bench Verified64.5%74.2%+9.7%
MMLU90.8%93.4%+2.6%
HumanEval93.7%96.1%+2.4%
MATH87.2%91.8%+4.6%
TAU-bench62.3%71.5%+9.2%
GPQA Diamond70.1%78.3%+8.2%
Max Output Tokens32K64K
Parallel Tool Calls48
Extended Thinkingv1v2Upgraded
Hallucination RateBaseline−40%−40%
Context Window200K200KSame
Input Price / MTok$15$15Same
Output Price / MTok$75$75Same
Full Model Comparison — April 2026
Claude Opus 4.7 vs GPT-5.4, Gemini 3.1 Pro, Llama 4 Maverick and more. Green = best in class.
Specification Claude Opus 4.7 Claude Sonnet 4.6 GPT-5.4 GPT-4o Gemini 3.1 Pro Llama 4 Maverick
Provider AnthropicAnthropicOpenAIOpenAIGoogleMeta (Open)
Release Date Apr 2026 LATEST Oct 2025Mar 2026May 2024Mar 2026Apr 2025
Context Window 200K200K128K128K1M1M
Max Output 64K16K32K16K32K16K
MMLU 93.4%89.2%92.8%87.2%91.5%88.5%
HumanEval 96.1%92.0%94.5%90.2%92.8%88.7%
SWE-bench 74.2%64.5%65.8%48.3%63.2%52.1%
MATH 91.8%86.5%90.5%76.6%89.2%82.3%
GPQA Diamond 78.3%68.2%76.8%53.6%74.5%62.4%
TAU-bench 71.5%62.8%66.2%45.2%60.5%48.9%
Vision / Images YesYesYesYesYesYes
Tool / Function Calls Yes (8× parallel)Yes (4×)YesYesYesYes
Extended Thinking v2 (128K budget)v1YesNoYesNo
Open Source NoNoNoNoNoYes
Input Price / MTok $15.00$3.00$30.00$2.50$1.25Free*
Output Price / MTok $75.00$15.00$60.00$10.00$10.00Free*
API Model ID claude-opus-4-7-20260416 claude-sonnet-4-6-20251022 gpt-5.4 gpt-4o gemini-3.1-pro llama-4-maverick

* Llama 4 Maverick is open-source. Free to self-host; hosted API cost varies by provider. Gemini prices shown for <128K context.

Context Window & Output Comparison

Context Window — how much text the model reads per request

Gemini 3.1 Pro
1,000,000
1M tokens
Llama 4 Maverick
1,000,000
1M tokens
Claude Opus 4.7
200,000
200K tokens
Claude Sonnet 4.6
200,000
200K tokens
GPT-5.4
128,000
128K tokens
GPT-4o
128,000
128K tokens

Max Output — how much text the model generates per response

Claude Opus 4.7
64,000
64K — #1
GPT-5.4
32,000
32K
Gemini 3.1 Pro
32,000
32K
Claude Sonnet 4.6
16,000
16K
GPT-4o
16,000
16K
Llama 4 Maverick
16,000
16K
Claude Opus 4.7 Use Cases
Where Opus 4.7 delivers the highest ROI — complex reasoning, long-running agents, and production coding.
🤖

Autonomous Agent Workflows

Opus 4.7 is optimized for long-running agentic tasks requiring multi-step planning, tool use, and error recovery.

  • Software engineering pipelines (Claude Code)
  • Research assistant agents with web search
  • Document processing & data extraction bots
  • Customer support orchestration
  • Parallel task execution (8× concurrent tools)
💻

Complex Coding Projects

Best-in-class for real software engineering — not just code generation, but understanding large codebases and resolving real bugs.

  • Multi-file refactors across large repos
  • Bug investigation & root cause analysis
  • Architecture design & code review
  • Test generation & CI/CD integration
  • Legacy code migration
🔬

Scientific & Graduate-Level Reasoning

78.3% on GPQA Diamond — expert-level performance on physics, chemistry, biology, and mathematics problems.

  • Literature review & synthesis
  • Mathematical proof assistance
  • Drug interaction analysis
  • Financial modeling & risk assessment
  • Academic writing support
📄

Long-Form Document Analysis

200K context window handles entire books, codebases, or legal document sets in one pass. 64K output for comprehensive reports.

  • Contract & legal document analysis
  • Financial report summarization
  • Technical documentation generation
  • Patent research & drafting
  • Multi-source research synthesis
🧩

Enterprise AI Integration

Extended Thinking v2 provides auditable reasoning chains. Built-in memory API simplifies stateful enterprise deployments.

  • Internal knowledge base Q&A
  • Automated report generation
  • Compliance checking workflows
  • Multi-system orchestration
  • Personalized employee assistants
🎨

Creative & Strategic Work

Superior instruction following and reduced hallucinations make Opus 4.7 ideal for nuanced, high-stakes creative tasks.

  • Marketing copy & campaign strategy
  • Product requirement documents
  • Business plan drafting
  • Scenario planning & forecasting
  • Educational curriculum design
When to Use Opus 4.7 vs Cheaper Models
Task TypeUse Opus 4.7Use Sonnet 4.6 ($3/$15)
Complex multi-step agent workflowsYes — best reliabilityAcceptable for simpler flows
Real GitHub issue resolutionYes — 74.2% SWE-bench64.5% — good alternative
Graduate-level reasoning/scienceYes — 78.3% GPQA68.2% — misses harder problems
Simple Q&A / chatbotOverkillYes — 5× cheaper
High-volume text classificationOverkillYes — much cheaper
Long-context document understandingYes — better comprehensionAdequate for simpler docs
Auditable reasoning requiredYes — Extended Thinking v2v1 available
Pricing Calculator — Claude Opus 4.7 & Alternatives
Estimate your monthly API cost. Adjust parameters to compare models side by side.
Estimated monthly cost — Claude Opus 4.7
$0.00

* Prompt caching applies only to Anthropic models. GPT-5.4 has ~50% cache discount on repeated prefixes. Llama 4 self-hosting costs not included.

Pricing Reference — April 2026
Model Input / MTok Output / MTok Cache Input / MTok Subscription
Claude Opus 4.7 $15.00 $75.00 $3.75 (75% off) Pro $20/mo
Claude Sonnet 4.6 $3.00$15.00$0.30Pro $20/mo
Claude Haiku 3.5 $0.80$4.00$0.08Pro $20/mo
GPT-5.4 $30.00$60.00$15.00 (50% off)ChatGPT Plus $20/mo
GPT-4o $2.50$10.00$1.25ChatGPT Plus $20/mo
Gemini 3.1 Pro $1.25$10.00$0.31Google One AI $19.99/mo
Llama 4 Maverick Free*Free*Free*Self-host required

Prices as of April 2026. MTok = 1 million tokens. * Llama 4 is free to self-host; compute costs apply.

Frequently Asked Questions — Claude Opus 4.7
Common questions about Claude Opus 4.7 features, benchmarks, pricing and usage.
What is Claude Opus 4.7?
Claude Opus 4.7 is Anthropic's latest flagship AI model, announced and released on April 16, 2026. It is the successor to Claude Opus 4.6 and the most capable model in the Claude family as of April 2026. It achieves state-of-the-art results on coding (SWE-bench 74.2%), general knowledge (MMLU 93.4%), mathematical reasoning (MATH 91.8%), and agentic tool use (TAU-bench 71.5%). It is available via the Anthropic API and on claude.ai for Pro, Team, and Enterprise subscribers.
How does Claude Opus 4.7 compare to GPT-5.4?
Claude Opus 4.7 outperforms GPT-5.4 on coding benchmarks (SWE-bench: 74.2% vs 65.8%; HumanEval: 96.1% vs 94.5%) and agentic tasks (TAU-bench: 71.5% vs 66.2%). GPT-5.4 is close on general knowledge (MMLU: 92.8%) and costs more on input ($30 vs $15 per MTok). Opus 4.7 also has a longer max output (64K vs 32K). For coding, agents, and scientific reasoning, Opus 4.7 is the stronger choice. For general-purpose tasks where cost matters, Sonnet 4.6 is a better value.
What is Claude Opus 4.7 vs Gemini 3.1 Pro?
Gemini 3.1 Pro has a larger context window (1M vs 200K tokens) and lower pricing ($1.25 vs $15/MTok input), making it better for very long documents or cost-sensitive applications. However, Claude Opus 4.7 leads on coding (SWE-bench: 74.2% vs 63.2%), agentic tasks (TAU-bench: 71.5% vs 60.5%), and general reasoning (MMLU: 93.4% vs 91.5%). For AI engineering and complex agent workflows, Opus 4.7 is the better choice.
What is Claude Opus 4.7 pricing?
Claude Opus 4.7 API pricing is $15 per million input tokens and $75 per million output tokens. Prompt caching provides a 75% discount on repeated input prefixes, bringing cached input to $3.75/MTok — critical for cost savings in agentic applications. Web access is included in Claude Pro ($20/month), Claude Team ($25/user/month), and Enterprise plans. New API accounts receive $5 in free credits.
What's new in Claude Opus 4.7 vs Opus 4.6?
Major improvements over Opus 4.6: SWE-bench Verified up 9.7 points (74.2%), MATH up 4.6 points (91.8%), TAU-bench up 9.2 points (71.5%), GPQA Diamond up 8.2 points (78.3%). New capabilities: Extended Thinking v2 with 128K token budgets, max output doubled to 64K tokens, 8 parallel tool calls (up from 4), built-in memory API for persistent context, 40% reduction in hallucination rate. Pricing unchanged from Opus 4.6.
What is the context window of Claude Opus 4.7?
Claude Opus 4.7 has a 200,000 token context window, equivalent to approximately 150,000 words or a 300-page book. The maximum output is 64,000 tokens — double Opus 4.6's 32K — which means it can generate entire codebases, long reports, or extended narratives in a single response. While Gemini 3.1 Pro and Llama 4 Maverick offer a larger 1M context window, Opus 4.7's 200K is sufficient for virtually all real-world tasks including large codebases and legal document analysis.
Is Claude Opus 4.7 good for coding?
Yes — Claude Opus 4.7 is the top-ranked model for coding tasks as of April 2026. It scores 74.2% on SWE-bench Verified (resolving real GitHub issues end-to-end), 96.1% on HumanEval (Python function generation), and powers Claude Code — Anthropic's official coding CLI. It is used by Cursor, Windsurf, and other AI coding tools. Its strengths include large codebase understanding, multi-file edits, root cause debugging, and architecture design. For pure coding tasks, it comfortably leads GPT-5.4 (65.8% SWE-bench) and Gemini 3.1 Pro (63.2%).
When was Claude Opus 4.7 released?
Claude Opus 4.7 was announced and released on April 16, 2026. The official API model identifier is claude-opus-4-7-20260416. It was available immediately for all Anthropic API users and claude.ai Pro, Team, and Enterprise subscribers upon announcement.
Can I use Claude Opus 4.7 for free?
Claude.ai's free tier provides access to Claude Sonnet 4.6, not Opus 4.7. To access Opus 4.7 on the web, you need a Claude Pro subscription ($20/month). For API access, Opus 4.7 is pay-per-use at $15/$75 per MTok. New Anthropic API accounts receive $5 in free credits, which is enough for initial testing (approximately 300K input tokens or 65K output tokens).
What is Extended Thinking v2 in Opus 4.7?
Extended Thinking v2 is a reasoning enhancement where Opus 4.7 generates an internal chain-of-thought before producing its final answer. In v2, the thinking budget can be set up to 128,000 tokens (vs 32K in v1), enabling deeper reasoning for complex multi-step problems. The thinking tokens are billed at the output rate ($75/MTok). Extended Thinking v2 significantly improves performance on mathematical, scientific, and multi-step logical problems. The reasoning chain is optionally visible to developers for debugging and auditing.
What is the Claude Opus 4.7 API model ID?
The official Anthropic API model identifier for Claude Opus 4.7 is claude-opus-4-7-20260416. You can also use claude-opus-4-7-latest for the always-current version alias.