RELEASED APRIL 16, 2026

Claude Opus 4.7 — Features, Benchmarks & Model Comparison

Compare Claude Opus 4.7 against GPT-5, Gemini 2.5, Llama 4 and other top AI models. Interactive benchmarks, pricing calculator and feature breakdown.

Last updated: April 18, 2026

Benchmark Scores — Claude Opus 4.7 vs Leading Models

Scores represent publicly reported results as of April 2026. Higher is better.

MMLU (Massive Multitask Language Understanding)
General knowledge across 57 subjects
Claude Opus 4.7
93.4%
93.4%
GPT-5
92.8%
92.8%
Gemini 2.5 Pro
91.5%
91.5%
Claude Sonnet 4.6
89.2%
89.2%
Llama 4 Maverick
88.5%
88.5%
GPT-4o
87.2%
87.2%
HumanEval (Code Generation)
Python function completion accuracy
Claude Opus 4.7
96.1%
96.1%
GPT-5
94.5%
94.5%
Gemini 2.5 Pro
92.8%
92.8%
Claude Sonnet 4.6
92.0%
92.0%
Llama 4 Maverick
88.7%
88.7%
GPT-4o
90.2%
90.2%
SWE-bench Verified (Real-World Software Engineering)
Resolving real GitHub issues end-to-end
Claude Opus 4.7
74.2%
74.2%
GPT-5
65.8%
65.8%
Claude Sonnet 4.6
64.5%
64.5%
Gemini 2.5 Pro
63.2%
63.2%
Llama 4 Maverick
52.1%
52.1%
GPT-4o
48.3%
48.3%
MATH (Competition Mathematics)
High school and competition-level math problems
Claude Opus 4.7
91.8%
91.8%
GPT-5
90.5%
90.5%
Gemini 2.5 Pro
89.2%
89.2%
Claude Sonnet 4.6
86.5%
86.5%
Llama 4 Maverick
82.3%
82.3%
GPT-4o
76.6%
76.6%
TAU-bench (Agentic Tool Use)
Complex multi-step tasks with tool calling
Claude Opus 4.7
71.5%
71.5%
GPT-5
66.2%
66.2%
Claude Sonnet 4.6
62.8%
62.8%
Gemini 2.5 Pro
60.5%
60.5%
Llama 4 Maverick
48.9%
48.9%
GPT-4o
45.2%
45.2%
GPQA Diamond (Graduate-Level Science)
Expert-level questions in physics, chemistry, biology
Claude Opus 4.7
78.3%
78.3%
GPT-5
76.8%
76.8%
Gemini 2.5 Pro
74.5%
74.5%
Claude Sonnet 4.6
68.2%
68.2%
Llama 4 Maverick
62.4%
62.4%
GPT-4o
53.6%
53.6%

What's New in Claude Opus 4.7

Released April 16, 2026 — Anthropic's most capable model to date.

NEW Enhanced Agentic Capabilities

Opus 4.7 can autonomously plan, execute, and iterate on complex multi-step tasks. Improved tool use reliability and parallel function calling.

IMPROVED Coding Performance

74.2% on SWE-bench Verified, up from 64.5% in Opus 4.6. Better at large codebase navigation, debugging, and multi-file edits.

NEW Extended Thinking v2

Second-generation extended thinking with more transparent reasoning chains. Configurable thinking budgets up to 128K tokens.

IMPROVED Instruction Following

Significantly better at following complex, multi-constraint instructions. Reduced over-refusal rates while maintaining safety.

IMPROVED Multimodal Understanding

Native PDF analysis with layout awareness. Enhanced image understanding for charts, diagrams, and handwriting recognition.

NEW Memory & Personalization

Built-in conversation memory across sessions. Custom style and preference retention for API users.

IMPROVED Reduced Hallucinations

40% reduction in hallucination rate compared to Opus 4.6. Better calibrated confidence and more frequent "I don't know" responses.

NEW Parallel Tool Execution

Can execute multiple tool calls simultaneously, dramatically improving speed for agentic workflows. Up to 8 parallel calls per turn.

Claude Opus 4.7 vs Opus 4.6 — Key Differences

FeatureOpus 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%
Context Window200K200KSame
Max Output32K64K2x
Extended Thinkingv1v2Upgraded
Parallel Tool Calls482x
Price (Input/MTok)$15$15Same
Price (Output/MTok)$75$75Same

Full Model Comparison — April 2026

Spec Claude Opus 4.7 Claude Sonnet 4.6 GPT-5 GPT-4o Gemini 2.5 Pro Llama 4 Maverick
Provider AnthropicAnthropicOpenAIOpenAIGoogleMeta
Release Apr 2026Oct 2025Mar 2026May 2024Mar 2025Apr 2025
Context 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%
TAU-bench 71.5%62.8%66.2%45.2%60.5%48.9%
GPQA Diamond 78.3%68.2%76.8%53.6%74.5%62.4%
Vision YesYesYesYesYesYes
Tool Use Yes (8x parallel)Yes (4x)YesYesYesYes
Open Source NoNoNoNoNoYes
Input $/MTok $15$3$30$2.50$1.25Free*
Output $/MTok $75$15$60$10$10Free*

* Llama 4 is open source — free to self-host; hosted API pricing varies by provider.

Claude Opus 4.7 Pricing Calculator

Estimate your monthly API cost across different models.

Estimated monthly cost for Claude Opus 4.7
$0.00

Context Window Comparison

Context window determines how much text a model can process in a single request. Larger windows enable longer documents and conversations.

Gemini 2.5 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
128,000
128K tokens
GPT-4o
128,000
128K tokens

What does context window size mean?

Token CountApproximate Equivalent
1,000 tokens~750 words or ~1.5 pages
32,000 tokens~24,000 words or ~50 pages
128,000 tokens~96,000 words or ~200 pages (a novel)
200,000 tokens~150,000 words or ~300 pages
1,000,000 tokens~750,000 words or ~1,500 pages

Max Output Tokens

How much text each model can generate in a single response.

Claude Opus 4.7
64,000
64K tokens
GPT-5
32,000
32K tokens
Gemini 2.5 Pro
32,000
32K tokens
Claude Sonnet 4.6
16,000
16K tokens
GPT-4o
16,000
16K tokens
Llama 4 Maverick
16,000
16K tokens

Frequently Asked Questions about Claude Opus 4.7

What is Claude Opus 4.7?
Claude Opus 4.7 is the latest flagship AI model from Anthropic, announced on April 16, 2026. It is the successor to Claude Opus 4.6 and represents the most capable model in the Claude family. It excels at coding, complex reasoning, agentic tasks, and multimodal understanding. It is available via the Anthropic API and through claude.ai for Claude Pro subscribers.
How does Claude Opus 4.7 compare to GPT-5?
Both are top-tier models. Claude Opus 4.7 leads 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 is competitive on general knowledge (MMLU: 92.8%) and is priced at $30/$60 per MTok compared to Opus 4.7's $15/$75. The best choice depends on your use case — Opus 4.7 for coding and agents, GPT-5 for general-purpose tasks.
What is the pricing for Claude Opus 4.7?
Claude Opus 4.7 API pricing: $15 per million input tokens, $75 per million output tokens. With prompt caching, cached input tokens cost $3.75/MTok (75% discount). Extended thinking tokens are billed at the output rate. Claude Pro ($20/month) and Team ($25/user/month) plans include access via claude.ai. The pricing is 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, which is approximately 150,000 words or 300 pages. The maximum output has been doubled to 64,000 tokens (up from 32K in Opus 4.6). While smaller than Gemini 2.5 Pro's 1M context, the 200K window handles most real-world use cases effectively.
When was Claude Opus 4.7 released?
Claude Opus 4.7 was announced and released on April 16, 2026. It is immediately available via the Anthropic API (model ID: claude-opus-4-7-20260416) and on claude.ai for Pro subscribers. Enterprise and Team customers also have immediate access.
What improvements does Opus 4.7 have over Opus 4.6?
Key improvements: SWE-bench +9.7% (74.2% vs 64.5%), MMLU +2.6% (93.4% vs 90.8%), MATH +4.6% (91.8% vs 87.2%), TAU-bench +9.2% (71.5% vs 62.3%). New features include Extended Thinking v2, 64K max output (2x), 8 parallel tool calls (2x), 40% fewer hallucinations, and built-in memory for API users.
Is Claude Opus 4.7 good for coding?
Claude Opus 4.7 is currently the best AI model for coding tasks. It scores 74.2% on SWE-bench Verified (resolving real GitHub issues), 96.1% on HumanEval, and is the top-performing model in Claude Code — Anthropic's official coding CLI. It excels at large codebase navigation, multi-file edits, debugging, and architecture design.
Can I use Claude Opus 4.7 for free?
Claude.ai offers limited free access with Claude Sonnet 4.6, but Opus 4.7 requires a Claude Pro subscription ($20/month) for web access. API access requires an Anthropic API key with pay-per-use pricing. There is no free tier for Opus 4.7 API usage, but Anthropic offers $5 in free credits for new API signups.