Claude Opus 4.7

Claude Opus 4.7 · Reviews and evidence

Which Claude Opus 4.7 conclusions hold up?

Browse public evaluations by topic, source identity, and evidence type. Different versions, tiers, and harnesses are not treated as directly comparable.

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Editorial takeaways

Editorial takeaways

The official release positions Opus 4.7 as an upgrade over 4.6 for difficult software engineering, long-horizon Agents, and high-resolution vision, but its BrowseComp regression and higher token usage show that it is not an unconditional replacement for every task.

Anthropic Newsroom · Read evidence

Vellum's synthesis of the official data shows that Opus 4.7's strengths are concentrated in SWE-bench Pro, MCP-Atlas, Finance Agent, and visual reasoning, while BrowseComp is a relative regression point. Model selection should therefore be based on the workflow rather than the overall leaderboard.

Vellum · Read evidence

Community feedback suggests that Opus 4.7's long-session quality and perceived context retention vary widely: some users report a clear speedup on debugging and website tasks, while others encounter overcomplication, forgetting, hallucinations, and token/quota pressure. It therefore must be validated on your own Claude Code sessions.

Reddit r/ClaudeCode · Read evidence

Full reviews and related reading

Read the full analysis

Overview · English

Claude Opus 4.7: What Changed, Where It Fits, and When to Migrate

A sourced Claude Opus 4.7 overview covering the 4.6 upgrade, benchmark split, API access, cost, lifecycle and migration checks.

Selected evidence

Media / benchmarkVendor report

Claude Opus 4.7: Official Coding, Vision, and Agent Benchmarks

The official release positions Opus 4.7 as an upgrade over 4.6 for difficult software engineering, long-horizon Agents, and high-resolution vision, but its BrowseComp regression and higher token usage show that it is not an unconditional replacement for every task.

SourceAnthropic Newsroom
Published2026-04-16
Collected2026-09-20

Unverified: the original source could not be rechecked.

Model/version
Claude-Opus-4.7; source date: 2026-04-16.
Harness/task
Official models: Claude Opus 4.7, compared with Opus 4.6, Gemini 3.1 Pro, GPT-5.4, and others; some charts also include Claude Mythos Preview.; Tasks/benchmarks: SWE-bench Verified, SWE-bench Pro, Terminal-Bench 2.0, MCP-Atlas, Finance Agent v1.1, OSWorld-Verified, BrowseComp, GPQA Diamond, HLE, CharXiv, and MMMLU.
Sample/gaps
Limitations noted: Early partner evaluations (such as internal coding benchmarks, CursorBench, and Finance/Computer-use cases) reflect selective disclosure by partners or Anthropic and cannot replace public datasets.; An updated tokenizer and higher effort may increase actual token usage; unchanged pricing does not mean that the cost of every task remains unchanged.
CodingAgentReasoning
Media / benchmarkIndependent measurement

Claude Opus 4.7: Vellum's Cross-model Benchmarks and Task Selection

Vellum's synthesis of the official data shows that Opus 4.7's strengths are concentrated in SWE-bench Pro, MCP-Atlas, Finance Agent, and visual reasoning, while BrowseComp is a relative regression point. Model selection should therefore be based on the workflow rather than the overall leaderboard.

SourceVellum
Published2026-04-16
Collected2026-09-20

Unverified: the original source could not be rechecked.

Model/version
Claude-Opus-4.7; source date: 2026-04-16.
Harness/task
Data sources: Vellum compiled the benchmark table from Anthropic's official system card and partner materials, and explained what each benchmark measures.; Compared models: Opus 4.7/4.6, Claude Mythos Preview, GPT-5.4/5.4 Pro, and Gemini 3.1 Pro.
Sample/gaps
Limitations noted: Official partner figures (CursorBench, 93-task coding, visual acuity, and so on) lack the complete task definitions and raw outputs, so they should not be given equal weight with the public data.; The selection conclusions depend on the specific tools, context, effort, and token budget; the article does not provide a standardized API parameter table.
Reasoning
CommunityPersonal experience

Claude Opus 4.7: Post-Release Long-Session Experience with Reddit Claude Code

Community feedback suggests that Opus 4.7's long-session quality and perceived context retention vary widely: some users report a clear speedup on debugging and website tasks, while others encounter overcomplication, forgetting, hallucinations, and token/quota pressure. It therefore must be validated on your own Claude Code sessions.

SourceReddit r/ClaudeCode
PublishedUnknown
Collected2026-09-20

Unverified: the original source could not be rechecked.

Model/version
Claude-Opus-4.7; source date: 2026-08-18.
Harness/task
Environment: Long Claude Code sessions run by community users; the specific repository, model snapshot, tool permissions, effort, cache state, and server-side cohort were not disclosed.; Task description: SDR pipeline debug/fix, website refactoring, vibe coding, simple fixes, and long-session coding work.
Sample/gaps
Limitations noted: Positive and negative feedback coexist in the same post, and users may have been routed to different server-side rollouts, load conditions, or cache states; average quality cannot be calculated.; Explanations such as a “cache bug” or “increased compute” have no official evidence; this article does not treat them as causal conclusions.
Research

All sources

All sources

3 / 3
Media / benchmarkVendor report

Claude Opus 4.7: Official Coding, Vision, and Agent Benchmarks

The official release positions Opus 4.7 as an upgrade over 4.6 for difficult software engineering, long-horizon Agents, and high-resolution vision, but its BrowseComp regression and higher token usage show that it is not an unconditional replacement for every task.

SourceAnthropic Newsroom
Published2026-04-16
Collected2026-09-20

Unverified: the original source could not be rechecked.

Model/version
Claude-Opus-4.7; source date: 2026-04-16.
Harness/task
Official models: Claude Opus 4.7, compared with Opus 4.6, Gemini 3.1 Pro, GPT-5.4, and others; some charts also include Claude Mythos Preview.; Tasks/benchmarks: SWE-bench Verified, SWE-bench Pro, Terminal-Bench 2.0, MCP-Atlas, Finance Agent v1.1, OSWorld-Verified, BrowseComp, GPQA Diamond, HLE, CharXiv, and MMMLU.
Sample/gaps
Limitations noted: Early partner evaluations (such as internal coding benchmarks, CursorBench, and Finance/Computer-use cases) reflect selective disclosure by partners or Anthropic and cannot replace public datasets.; An updated tokenizer and higher effort may increase actual token usage; unchanged pricing does not mean that the cost of every task remains unchanged.
CodingAgentReasoning
Media / benchmarkIndependent measurement

Claude Opus 4.7: Vellum's Cross-model Benchmarks and Task Selection

Vellum's synthesis of the official data shows that Opus 4.7's strengths are concentrated in SWE-bench Pro, MCP-Atlas, Finance Agent, and visual reasoning, while BrowseComp is a relative regression point. Model selection should therefore be based on the workflow rather than the overall leaderboard.

SourceVellum
Published2026-04-16
Collected2026-09-20

Unverified: the original source could not be rechecked.

Model/version
Claude-Opus-4.7; source date: 2026-04-16.
Harness/task
Data sources: Vellum compiled the benchmark table from Anthropic's official system card and partner materials, and explained what each benchmark measures.; Compared models: Opus 4.7/4.6, Claude Mythos Preview, GPT-5.4/5.4 Pro, and Gemini 3.1 Pro.
Sample/gaps
Limitations noted: Official partner figures (CursorBench, 93-task coding, visual acuity, and so on) lack the complete task definitions and raw outputs, so they should not be given equal weight with the public data.; The selection conclusions depend on the specific tools, context, effort, and token budget; the article does not provide a standardized API parameter table.
Reasoning
CommunityPersonal experience

Claude Opus 4.7: Post-Release Long-Session Experience with Reddit Claude Code

Community feedback suggests that Opus 4.7's long-session quality and perceived context retention vary widely: some users report a clear speedup on debugging and website tasks, while others encounter overcomplication, forgetting, hallucinations, and token/quota pressure. It therefore must be validated on your own Claude Code sessions.

SourceReddit r/ClaudeCode
PublishedUnknown
Collected2026-09-20

Unverified: the original source could not be rechecked.

Model/version
Claude-Opus-4.7; source date: 2026-08-18.
Harness/task
Environment: Long Claude Code sessions run by community users; the specific repository, model snapshot, tool permissions, effort, cache state, and server-side cohort were not disclosed.; Task description: SDR pipeline debug/fix, website refactoring, vibe coding, simple fixes, and long-session coding work.
Sample/gaps
Limitations noted: Positive and negative feedback coexist in the same post, and users may have been routed to different server-side rollouts, load conditions, or cache states; average quality cannot be calculated.; Explanations such as a “cache bug” or “increased compute” have no official evidence; this article does not treat them as causal conclusions.
Research

Claude Opus 4.7

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