Short answer
There isn’t a universal winner, and the Claude version matters. For a visual frontend implementation, a third-party author’s two-task comparison gives a narrow reason to put Claude Opus 4 on your evaluation shortlist: the author preferred Opus 4’s finished Figma-to-Next.js design and Three.js animation. For audio, image, video, PDF, or very long text inputs, Gemini 2.5 Pro has a documented fit: Google lists those input types and a 1,048,576-token input limit. Neither point establishes a general performance winner; test the workload you care about. (Composio’s task comparison; Google’s Gemini 2.5 Pro model page)
There is also a production-access caveat. Anthropic’s release notes had scheduled the original Opus 4 and Sonnet 4 IDs for retirement on its direct API on June 15, 2026—a date that has passed. Confirm their actual status on the platform you use; partner-operated platforms set their own retirement schedules. Google says Gemini 2.5 Pro continues to be served through the Gemini Developer API, but access is limited to users who actively used the 2.5 models previously. (Anthropic release notes; Anthropic model deprecations; Google model page)
At a glance
| Decision factor | Claude Opus 4 | Claude Sonnet 4 | Gemini 2.5 Pro |
|---|---|---|---|
| API model ID | claude-opus-4-20250514 (Anthropic model record) |
claude-sonnet-4-20250514 (Anthropic model record) |
gemini-2.5-pro (Google model page) |
| Documented fit | Anthropic describes Opus 4 as its more powerful Claude 4 model; its system card covers visual analysis and tool use. | A distinct model from Opus 4; Anthropic’s launch announcement says both support extended thinking with tool use. | Google lists audio, image, video, text, and PDF input, plus function calling. (Anthropic system card; Anthropic launch announcement; Google model page) |
| Context information | The original model’s standard limit could not be established from the official material available for this comparison. Check the specific API channel. | Same caveat. AWS announced a 1-million-token context option for Sonnet 4 in Bedrock preview, from a previous 200,000-token limit. That is channel-specific, not universal availability. (AWS announcement) | Google lists a 1,048,576-token input limit and a 65,536-token output limit. (Google model page) |
| Direct API status | Anthropic scheduled the original ID for retirement on June 15, 2026; confirm its actual status. | Same. Partner platforms set their own schedules. (Anthropic release notes; partner deprecations) | Google says the model remains served, with access limited to previously active 2.5-model users. (Google model page) |
| Conditional shortlist | Evaluate for visual frontend work similar to the two tasks described below, if your platform offers the exact model. (Composio comparison) | Don’t assume it shares Opus 4’s comparative result. The available evidence does not establish it as the winner in those tasks. | Evaluate when the listed media inputs or large input limit matter and your project is eligible. (Google model page) |
| Current like-for-like API cost | No current direct Anthropic API cost comparison for the original ID is established here. Historical listed rates appear below for context. | Same. | The applicable current standard rate and request conditions could not be established here; check Google’s pricing page before budgeting. |
Which model fits your workload?
Coding and software agents
In one author-reported comparison involving a Figma-to-Next.js task using Figma MCP and a Three.js animation task, Composio’s author preferred Claude Opus 4’s finished visual results. The author also said Gemini’s code was better organized into components in the Figma task, despite preferring Opus 4’s rendered result. Treat this as a narrow, subjective reason to evaluate Opus 4 first for similar visual frontend tasks, not proof that it is generally better at coding. The article provides no standardized score or broad set of trials. (Composio comparison)
That result is about Opus 4, not Sonnet 4. Anthropic’s launch announcement describes Opus 4 as its more powerful model for complex, long-running tasks and Sonnet 4 as a separate model. Those descriptions do not establish how Sonnet 4 compares with Gemini on a particular coding workload. (Anthropic launch announcement)
Practical choice: If both exact models remain accessible through your platform, include Opus 4 in a visual frontend evaluation. Include Sonnet 4 separately if it is the Claude model you can deploy; don’t transfer Opus 4’s task result to Sonnet 4. Because the direct API retirement date has passed, verify actual status rather than assuming direct Anthropic API access. (Anthropic release notes; partner deprecations)
Multimodal and long-context work
Google documents audio, image, video, text, and PDF as Gemini 2.5 Pro input types, lists a 1,048,576-token input limit, and lists function calling as supported. That makes Gemini a documented candidate when your workload specifically needs those media inputs or a large input allowance. A high token limit alone does not guarantee accurate recall across a long prompt, so test with your own documents, media, and tool calls. (Google model page)
Anthropic’s Claude 4 system card describes Opus 4 and Sonnet 4 as capable in visual analysis and tool use; its launch announcement says both support extended thinking with tool use. The available evidence here does not establish the original models’ standard context limit on every API channel or a like-for-like media benchmark against Gemini 2.5 Pro. AWS announced a 1-million-token context option for Sonnet 4 in Bedrock preview in August 2025, from a previous 200,000-token limit; that announcement is specific to that channel. (Anthropic system card; Anthropic launch announcement; AWS announcement)
Practical choice: Shortlist Gemini when its listed media inputs or input limit are requirements and your project is eligible. Shortlist Opus 4 for evaluation on visual frontend work similar to Composio’s examples, where the exact model remains accessible. For other reasoning, agent, or multimodal tasks, the available comparisons do not settle the winner; run a workload-specific test.
Production API access and cost
For the direct Anthropic Claude API, Anthropic’s release notes scheduled the original Opus 4 and Sonnet 4 IDs for retirement on June 15, 2026. That date has passed, so check their actual status. Anthropic’s deprecation guidance says partner-operated platforms can set their own schedules; verify the exact model ID and lifecycle status with the platform hosting an existing deployment. (Anthropic release notes; Anthropic model deprecations)
For the Gemini Developer API, Google says Gemini 2.5 Pro continues to be served until further notice while limiting access to users who actively used the 2.5 models previously. Confirm project eligibility and current quota and pricing before relying on it for production. (Google model page)
A reliable current, like-for-like price verdict is not established here. Anthropic’s pricing reference lists original Opus 4 at $15 per million input tokens and $75 per million output tokens, and Sonnet 4 at $3 and $15, respectively. These are historical rates for original model IDs and do not prove current availability or billing on a partner platform. (Anthropic pricing reference)
The applicable Gemini 2.5 Pro standard-rate row and its request conditions could not be established from the official pricing material available for this comparison, so no Gemini dollar estimate is included. Do not use the third-party estimate of “$10–$20 per million tokens” as an official rate. (Google Gemini API pricing; third-party article containing the estimate)
For context only, using Anthropic’s listed rates, 250,000 input tokens and 30,000 output tokens would calculate to $6.00 for Opus 4 or $1.20 for Sonnet 4. This is arithmetic on historical listed prices—not a current deployable-price comparison. For a model you can actually deploy, use the rates for that model and channel:
estimated cost = (input tokens ÷ 1,000,000 × input rate) + (output tokens ÷ 1,000,000 × output rate)
Keep API billing separate from consumer subscriptions. A partner cloud’s billing and lifecycle schedule may differ from the direct-provider terms.
How to validate a production choice
- Confirm access first. Record the exact model ID, API provider, and cloud channel. Check Gemini project eligibility and, for an existing Claude deployment, the partner platform’s lifecycle notice.
- Choose representative tasks. Use real examples from your application, such as repository changes, document analysis, or image and video understanding.
- Set comparable conditions. Match inputs, success criteria, tool permissions, and output requirements where possible; document any settings you cannot match.
- Define the scorecard in advance. Measure correctness, completion, human edits required, latency, failures, and output quality against criteria that matter to your users.
- Measure actual cost. Use token and billing records from the channel you would deploy, not historical Claude rates or an unconfirmed Gemini estimate.
- Recheck operational constraints. Confirm current availability, quotas, limits, and platform terms before launch.
Bottom line: For similar visual frontend tasks, the limited author-reported evidence gives you a reason to test Opus 4 first if your platform still offers it. For workloads requiring Gemini 2.5 Pro’s documented media inputs or large input limit, test Gemini 2.5 Pro if your project remains eligible. Treat Sonnet 4 as a separate candidate, not a stand-in for Opus 4. For direct Claude API use, the original IDs’ scheduled retirement date has passed; verify actual platform access and current pricing before making a production choice. (Composio comparison; Google model page; Anthropic release notes)
Sources
Grok 4 vs. Claude 4 Opus vs. Gemini 2.5 Pro: Better coding model
Gemini 2.5 Pro | Gemini API | Google AI for Developers
Model deprecations - Claude Platform Docs
Claude Sonnet 4 system prompts
Pricing - Claude Platform Docs
System Card: Claude Opus 4 & Claude Sonnet 4
Anthropic’s Claude Sonnet 4 in Amazon Bedrock Expanded Context Window