Key takeaways

• Claude Opus 4.7 is described by Anthropic as a “hybrid reasoning model” focused on coding and AI agents, with a 1M context window.
• Anthropic’s documentation says Claude Opus 4.7 provides a 1M context window at standard API pricing with no long-context premium.
• Anthropic’s documentation also says Claude Opus 4.7 shows “meaningful gains” on knowledge-worker tasks.
• A third-party technical writeup describes Claude Opus 4.7 as Anthropic’s most capable generally available model for coding, enterprise workflows, multimodal reasoning, financial analysis, life sciences, cybersecurity, and long-running agentic work.
• Based only on the provided evidence, Claude Opus 4.7 is the only model with enough sourced detail to compare meaningfully. GPT-5.5 is confirmed as an OpenAI API model, Kimi K2.6 has only a limited third-party snippet, and DeepSeek V4 has no supporting evidence in the provided mat
• ## Key findings

Research answer

Based only on the provided evidence, Claude Opus 4.7 is the only model with enough sourced detail to compare meaningfully. GPT-5.5 is confirmed as an OpenAI API model, Kimi K2.6 has only a limited third-party snippet, and DeepSeek V4 has no supporting evidence in the provided material, so any detailed ranking across all four would be unsupported.

Key findings

• Claude Opus 4.7 is described by Anthropic as a “hybrid reasoning model” focused on coding and AI agents, with a 1M context window ^[4].
• Anthropic’s documentation says Claude Opus 4.7 provides a 1M context window at standard API pricing with no long-context premium ^[2].
• Anthropic’s documentation also says Claude Opus 4.7 shows “meaningful gains” on knowledge-worker tasks ^[2].
• A third-party technical writeup describes Claude Opus 4.7 as Anthropic’s most capable generally available model for coding, enterprise workflows, multimodal reasoning, financial analysis, life sciences, cybersecurity, and long-running agentic work ^[6].
• GPT-5.5 is listed in OpenAI’s API documentation as gpt-5.5, with a dated model version gpt-5.5-2026-04-23 ^[1].
• The provided GPT-5.5 evidence only confirms API model listing and mentions rate limits; it does not provide benchmark results, modality details, context length, pricing, or capability claims ^[1].
• Kimi K2.6 is described in one LinkedIn article snippet as an open-weight model from Moonshot AI, positioned against GPT-5.4 and Claude Opus 4.6 on coding benchmarks ^[45].
• The provided evidence contains no source for DeepSeek V4. Insufficient evidence.
• There is insufficient evidence to make a defensible overall ranking among Claude Opus 4.7, GPT-5.5, DeepSeek V4, and Kimi K2.6.

Comparison table

Category	Claude Opus 4.7	GPT-5.5	DeepSeek V4	Kimi K2.6
Evidence strength	Strongest among the four, with official Anthropic sources plus third-party analysis [2][4][6]	Limited official OpenAI API evidence [1]	No provided evidence	Very limited third-party evidence [45]
Provider	Anthropic [4]	OpenAI [1]	Insufficient evidence	Moonshot AI, according to the provided LinkedIn snippet [45]
Model status	Public Claude product/API access is referenced by Anthropic [4]	Listed in OpenAI API docs as gpt-5.5 and gpt-5.5-2026-04-23 [1]	Insufficient evidence	Described as released in the provided LinkedIn snippet [45]
Context window	1M context window [2][4]	Insufficient evidence	Insufficient evidence	Insufficient evidence
Pricing evidence	1M context at standard API pricing with no long-context premium [2]	Insufficient evidence beyond rate-limit reference [1]	Insufficient evidence	Insufficient evidence
Output limit	A third-party source says up to 128K output tokens [6]	Insufficient evidence	Insufficient evidence	Insufficient evidence
Coding	Anthropic positions it as frontier-level for coding, and a third-party source says it is strong for coding [4][6]	Insufficient evidence	Insufficient evidence	Positioned against GPT-5.4 and Claude Opus 4.6 on coding benchmarks, according to one LinkedIn snippet [45]
Agents / tool use	Anthropic says it pushes the frontier for AI agents [4]	Insufficient evidence	Insufficient evidence	Insufficient evidence
Knowledge work	Anthropic says it has meaningful gains on knowledge-worker tasks [2]	Insufficient evidence	Insufficient evidence	Insufficient evidence
Multimodal reasoning	A third-party source lists multimodal reasoning as a target capability area [6]	Insufficient evidence	Insufficient evidence	Insufficient evidence
Open weights	No evidence that Claude Opus 4.7 is open-weight	No evidence that GPT-5.5 is open-weight	Insufficient evidence	Described as open-weight in one LinkedIn snippet [45]
Benchmarks	A Vellum article exists discussing Claude Opus 4.7 benchmarks, including coding, agentic, finance, reasoning, and search-related categories, but the provided snippet does not include specific scores [5]	Insufficient evidence	Insufficient evidence	Only a broad claim about positioning on coding benchmarks is provided [45]

Model-by-model assessment

Claude Opus 4.7

Claude Opus 4.7 has the clearest evidence base in the provided material. Anthropic describes it as a hybrid reasoning model that advances coding and AI-agent use cases and includes a 1M context window ^[4].

The most concrete differentiator is long context: Anthropic says Claude Opus 4.7 provides a 1M context window at standard API pricing with no long-context premium ^[2]. That makes it the only model in the provided evidence with a clearly documented context-window advantage ^[2][4].

Claude Opus 4.7 also has the broadest capability claims in the supplied sources. Anthropic says it shows meaningful gains on knowledge-worker tasks ^[2], while a third-party source positions it for coding, enterprise workflows, multimodal reasoning, financial analysis, life sciences, cybersecurity, and long-running agentic work ^[6].

However, the provided benchmark evidence is incomplete. A Vellum article is listed as explaining Claude Opus 4.7 benchmarks across categories such as SWE-bench Verified, SWE-bench Pro, Terminal-Bench 2.0, MCP-Atlas, Finance Agent v1.1, OSWorld-Verified, BrowseComp, and GPQA, but the provided snippet does not include actual scores or rankings ^[5].

GPT-5.5

GPT-5.5 is confirmed in the provided evidence as an OpenAI API model. The OpenAI API documentation snippet lists gpt-5.5 and a dated version, gpt-5.5-2026-04-23 ^[1].

The same OpenAI snippet mentions rate limits, but only in general terms: rate limits cap requests or token usage and depend on usage tier ^[1]. The snippet does not provide GPT-5.5’s context window, pricing, benchmark results, modalities, training cutoff, tool-use features, or coding performance ^[1].

Because the provided GPT-5.5 evidence is minimal, it cannot be fairly compared against Claude Opus 4.7 on capability, cost, latency, benchmarks, or agentic performance.

DeepSeek V4

No evidence for DeepSeek V4 is included in the provided source list. Insufficient evidence.

That means there is no sourced basis here to describe DeepSeek V4’s release status, context window, pricing, weights, architecture, benchmarks, coding performance, reasoning performance, or API availability.

Kimi K2.6

The only provided evidence for Kimi K2.6 is a LinkedIn article snippet saying Moonshot AI released Kimi K2.6 as an open-weight model ^[45]. The same snippet says it is positioned against GPT-5.4 and Claude Opus 4.6 on coding benchmarks ^[45].

That evidence is too thin for a robust evaluation. The snippet does not provide benchmark names, scores, methodology, context length, license terms, API availability, hardware requirements, pricing, safety evaluations, or comparisons against Claude Opus 4.7 or GPT-5.5 ^[45].

Evidence notes

• Official vendor sources support the strongest claims for Claude Opus 4.7 and GPT-5.5: Anthropic sources support Claude’s 1M context and positioning ^[2][4], and OpenAI’s API documentation supports the existence of GPT-5.5 as an API model ^[1].
• Third-party sources add useful but weaker evidence for Claude Opus 4.7’s broader enterprise and domain positioning ^[6].
• The Kimi K2.6 evidence is especially limited because it comes only from a LinkedIn article snippet, not an official Moonshot AI source or benchmark report ^[45].
• The provided DeepSeek V4 evidence is absent. Insufficient evidence.

Limitations / uncertainty

• There are no direct benchmark scores in the provided evidence for GPT-5.5, DeepSeek V4, or Kimi K2.6.
• There are no apples-to-apples benchmark numbers across all four models.
• There is no supplied evidence for latency, cost per token, availability by region, safety evaluations, tool-use reliability, coding benchmark scores, or real-world deployment performance across the four models.
• Claims about Claude Opus 4.7 are much better supported than claims about the other three models because the evidence includes official Anthropic documentation ^[2][4].
• Any definitive ranking such as “best overall,” “best coder,” “best reasoning model,” or “best value” would be unsupported by the provided evidence.

Summary

Claude Opus 4.7 appears strongest on the available evidence because it has official documentation for a 1M context window, no long-context premium, coding and agentic positioning, and knowledge-work improvements ^[2][4]. GPT-5.5 is confirmed as an OpenAI API model, but the provided evidence does not describe its capabilities beyond model listing and rate-limit context ^[1]. Kimi K2.6 is only lightly supported by a third-party snippet describing it as open-weight and coding-benchmark-oriented ^[45]. DeepSeek V4 cannot be assessed from the provided evidence.

Supporting visuals

Research conversation

YouApr 26, 2026

Research question

Research & compare Claude Opus 4.7, GPT-5.5, DeepSeek V4, Kimi K2.6 as comprehensively as possible

Studio Global AIApr 26, 202640 sources

Cited answer

Based only on the provided evidence, Claude Opus 4.7 is the only model with enough sourced detail to compare meaningfully. GPT-5.5 is confirmed as an OpenAI API model, Kimi K2.6 has only a limited third-party snippet, and DeepSeek V4 has no supporting evidence in the provided material, so any detailed ranking across all four would be unsupported.

Key findings

• Claude Opus 4.7 is described by Anthropic as a “hybrid reasoning model” focused on coding and AI agents, with a 1M context window ^[4].
• Anthropic’s documentation says Claude Opus 4.7 provides a 1M context window at standard API pricing with no long-context premium ^[2].
• Anthropic’s documentation also says Claude Opus 4.7 shows “meaningful gains” on knowledge-worker tasks ^[2].
• A third-party technical writeup describes Claude Opus 4.7 as Anthropic’s most capable generally available model for coding, enterprise workflows, multimodal reasoning, financial analysis, life sciences, cybersecurity, and long-running agentic work ^[6].
• GPT-5.5 is listed in OpenAI’s API documentation as gpt-5.5, with a dated model version gpt-5.5-2026-04-23 ^[1].
• The provided GPT-5.5 evidence only confirms API model listing and mentions rate limits; it does not provide benchmark results, modality details, context length, pricing, or capability claims ^[1].
• Kimi K2.6 is described in one LinkedIn article snippet as an open-weight model from Moonshot AI, positioned against GPT-5.4 and Claude Opus 4.6 on coding benchmarks ^[45].
• The provided evidence contains no source for DeepSeek V4. Insufficient evidence.
• There is insufficient evidence to make a defensible overall ranking among Claude Opus 4.7, GPT-5.5, DeepSeek V4, and Kimi K2.6.

Comparison table

Category	Claude Opus 4.7	GPT-5.5	DeepSeek V4	Kimi K2.6
Evidence strength	Strongest among the four, with official Anthropic sources plus third-party analysis [2][4][6]	Limited official OpenAI API evidence [1]	No provided evidence	Very limited third-party evidence [45]
Provider	Anthropic [4]	OpenAI [1]	Insufficient evidence	Moonshot AI, according to the provided LinkedIn snippet [45]
Model status	Public Claude product/API access is referenced by Anthropic [4]	Listed in OpenAI API docs as gpt-5.5 and gpt-5.5-2026-04-23 [1]	Insufficient evidence	Described as released in the provided LinkedIn snippet [45]
Context window	1M context window [2][4]	Insufficient evidence	Insufficient evidence	Insufficient evidence
Pricing evidence	1M context at standard API pricing with no long-context premium [2]	Insufficient evidence beyond rate-limit reference [1]	Insufficient evidence	Insufficient evidence
Output limit	A third-party source says up to 128K output tokens [6]	Insufficient evidence	Insufficient evidence	Insufficient evidence
Coding	Anthropic positions it as frontier-level for coding, and a third-party source says it is strong for coding [4][6]	Insufficient evidence	Insufficient evidence	Positioned against GPT-5.4 and Claude Opus 4.6 on coding benchmarks, according to one LinkedIn snippet [45]
Agents / tool use	Anthropic says it pushes the frontier for AI agents [4]	Insufficient evidence	Insufficient evidence	Insufficient evidence
Knowledge work	Anthropic says it has meaningful gains on knowledge-worker tasks [2]	Insufficient evidence	Insufficient evidence	Insufficient evidence
Multimodal reasoning	A third-party source lists multimodal reasoning as a target capability area [6]	Insufficient evidence	Insufficient evidence	Insufficient evidence
Open weights	No evidence that Claude Opus 4.7 is open-weight	No evidence that GPT-5.5 is open-weight	Insufficient evidence	Described as open-weight in one LinkedIn snippet [45]
Benchmarks	A Vellum article exists discussing Claude Opus 4.7 benchmarks, including coding, agentic, finance, reasoning, and search-related categories, but the provided snippet does not include specific scores [5]	Insufficient evidence	Insufficient evidence	Only a broad claim about positioning on coding benchmarks is provided [45]

Model-by-model assessment

Claude Opus 4.7

Claude Opus 4.7 has the clearest evidence base in the provided material. Anthropic describes it as a hybrid reasoning model that advances coding and AI-agent use cases and includes a 1M context window ^[4].

The most concrete differentiator is long context: Anthropic says Claude Opus 4.7 provides a 1M context window at standard API pricing with no long-context premium ^[2]. That makes it the only model in the provided evidence with a clearly documented context-window advantage ^[2][4].

Claude Opus 4.7 also has the broadest capability claims in the supplied sources. Anthropic says it shows meaningful gains on knowledge-worker tasks ^[2], while a third-party source positions it for coding, enterprise workflows, multimodal reasoning, financial analysis, life sciences, cybersecurity, and long-running agentic work ^[6].

However, the provided benchmark evidence is incomplete. A Vellum article is listed as explaining Claude Opus 4.7 benchmarks across categories such as SWE-bench Verified, SWE-bench Pro, Terminal-Bench 2.0, MCP-Atlas, Finance Agent v1.1, OSWorld-Verified, BrowseComp, and GPQA, but the provided snippet does not include actual scores or rankings ^[5].

GPT-5.5

GPT-5.5 is confirmed in the provided evidence as an OpenAI API model. The OpenAI API documentation snippet lists gpt-5.5 and a dated version, gpt-5.5-2026-04-23 ^[1].

The same OpenAI snippet mentions rate limits, but only in general terms: rate limits cap requests or token usage and depend on usage tier ^[1]. The snippet does not provide GPT-5.5’s context window, pricing, benchmark results, modalities, training cutoff, tool-use features, or coding performance ^[1].

Because the provided GPT-5.5 evidence is minimal, it cannot be fairly compared against Claude Opus 4.7 on capability, cost, latency, benchmarks, or agentic performance.

DeepSeek V4

No evidence for DeepSeek V4 is included in the provided source list. Insufficient evidence.

That means there is no sourced basis here to describe DeepSeek V4’s release status, context window, pricing, weights, architecture, benchmarks, coding performance, reasoning performance, or API availability.

Kimi K2.6

The only provided evidence for Kimi K2.6 is a LinkedIn article snippet saying Moonshot AI released Kimi K2.6 as an open-weight model ^[45]. The same snippet says it is positioned against GPT-5.4 and Claude Opus 4.6 on coding benchmarks ^[45].

That evidence is too thin for a robust evaluation. The snippet does not provide benchmark names, scores, methodology, context length, license terms, API availability, hardware requirements, pricing, safety evaluations, or comparisons against Claude Opus 4.7 or GPT-5.5 ^[45].

Evidence notes

• Official vendor sources support the strongest claims for Claude Opus 4.7 and GPT-5.5: Anthropic sources support Claude’s 1M context and positioning ^[2][4], and OpenAI’s API documentation supports the existence of GPT-5.5 as an API model ^[1].
• Third-party sources add useful but weaker evidence for Claude Opus 4.7’s broader enterprise and domain positioning ^[6].
• The Kimi K2.6 evidence is especially limited because it comes only from a LinkedIn article snippet, not an official Moonshot AI source or benchmark report ^[45].
• The provided DeepSeek V4 evidence is absent. Insufficient evidence.

Limitations / uncertainty

• There are no direct benchmark scores in the provided evidence for GPT-5.5, DeepSeek V4, or Kimi K2.6.
• There are no apples-to-apples benchmark numbers across all four models.
• There is no supplied evidence for latency, cost per token, availability by region, safety evaluations, tool-use reliability, coding benchmark scores, or real-world deployment performance across the four models.
• Claims about Claude Opus 4.7 are much better supported than claims about the other three models because the evidence includes official Anthropic documentation ^[2][4].
• Any definitive ranking such as “best overall,” “best coder,” “best reasoning model,” or “best value” would be unsupported by the provided evidence.

Summary

Claude Opus 4.7 appears strongest on the available evidence because it has official documentation for a 1M context window, no long-context premium, coding and agentic positioning, and knowledge-work improvements ^[2][4]. GPT-5.5 is confirmed as an OpenAI API model, but the provided evidence does not describe its capabilities beyond model listing and rate-limit context ^[1]. Kimi K2.6 is only lightly supported by a third-party snippet describing it as open-weight and coding-benchmark-oriented ^[45]. DeepSeek V4 cannot be assessed from the provided evidence.

People also ask

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