Gemini vs Claude: Which Is Better in 2026? (Side by Side)
Quick verdict
Claude Opus 4.7 is the better coder and agent. Gemini 3 Pro is the better multimodal model, the better long-context reader, and meaningfully cheaper. For most software engineering work, pick Claude. For research over giant document sets, video understanding, or anything where Google's ecosystem matters, pick Gemini.
The intelligence gap between them is small (57.3 vs 56.1), but the price gap and the speed gap are not.
Side-by-side specs
| Metric | Claude Opus 4.7 | Gemini 3 Pro |
|---|---|---|
| Intelligence Index | 57.3 | 56.1 |
| Coding Index | 52.5 | 47.8 |
| Context Window | 1.0M tokens | 2.0M tokens |
| Input $/1M | $6.25 | $2.50 |
| Output $/1M | $25.00 | $10.00 |
| Speed (tok/s) | 61 | 112 |
| Released | Apr 16, 2026 | Mar 12, 2026 |
Source: Artificial Analysis, May 2026.
Watch: claude and gemini tested side by side
A walkthrough comparing Gemini, Claude, and ChatGPT on the same set of prompts so you can see where each model lands.
Coding test: real prompt, two answers
The task: given a 4,000-line TypeScript codebase, find and fix a memory leak in the WebSocket handling layer. The leak only manifests under reconnect storms, and the test that catches it is in a separate file 800 lines long.
Claude Opus 4.7 read the codebase, identified that event listeners on the socket weren't being removed on reconnect, and produced a patch that added a cleanup function in the right place. It also noticed an unrelated bug where the heartbeat timer wasn't being cleared on disconnect, and asked whether to fix that too. The patch passed all tests.
Gemini 3 Pro identified the same root cause and produced a similar patch. Its fix was correct but applied at a slightly less idiomatic location (in the connection callback rather than in a dedicated teardown function), which would have made the next maintainer's job harder. It did not flag the heartbeat issue. Gemini's response was faster overall thanks to the 112 tok/s output speed, but Claude's answer was more useful.
Reasoning test: real prompt, two answers
A legal hypothetical: "A contractor signed a fixed-price contract to deliver a SaaS platform by June 1. The client made three scope change requests in writing, each acknowledged by the contractor without a formal change order. The contractor delivered on August 15. Can the client claim damages for late delivery?"
Claude walked through the issue carefully. It identified the scope changes as potential modifications that could extend the delivery date under the parol evidence and modification doctrines, noted that the written acknowledgments might constitute a course of dealing that waives the strict deadline, and concluded that the client's damages claim is weak but not impossible, depending on jurisdiction and the specific contract language about modifications.
Gemini 3 Pro reached a similar conclusion but framed it differently, leaning on the doctrine of estoppel rather than modification. Its answer was clear and well-structured. The one weakness: Gemini stated more confidently than warranted that the contractor would prevail, where Claude was appropriately hedged. For legal or other high-stakes reasoning, that hedge matters.
Speed and cost in practice
Gemini's price advantage is large. At $2.50 input and $10.00 output per million tokens, it costs less than half of Claude on a typical query. Combined with 112 tok/s output speed, Gemini is the clear pick for cost-sensitive or latency-sensitive deployments.
| Model | Input cost | Output cost | Total per 1,000 queries |
|---|---|---|---|
| Claude Opus 4.7 API | $3.13 | $20.00 | $23.13 |
| Gemini 3 Pro API | $1.25 | $8.00 | $9.25 |
That is a 2.5x cost difference for two models within 1.2 intelligence points of each other. For high-volume production, Gemini is hard to argue against on economics alone.
Which one should you pick?
For coding, pick Claude. The 4.7-point Coding Index advantage shows up in real refactoring tasks. Claude also handles long codebases more reliably even with Gemini's larger context window.
For writing, it is close. Claude has a slightly warmer voice and handles long-form better. Gemini is more concise and faster, which suits high-volume writing tasks.
For agents, pick Claude. TAU-bench v2 at 88.6% is the current state of the art for tool-using agents. Gemini is improving fast here but isn't quite there yet.
For cheap bulk work, pick Gemini. The 2.5x cost advantage at frontier-adjacent quality makes it the rational choice for any workload that runs at scale.
Try both instantly in Admix
Running the same prompt through Claude and Gemini side by side is the fastest way to know which one fits your work. Admix bundles both, plus GPT-5.5 and DeepSeek, from one subscription. See the full lineup in our best AI aggregator guide.
FAQ
Is Claude better than Gemini for coding?
Yes. Claude Opus 4.7 scores 52.5 on the Coding Index versus 47.8 for Gemini 3 Pro, and the gap shows up on real coding tasks like refactoring and code review.
How much does it cost to use both Claude and Gemini?
Consumer plans are $20/month for Claude Pro and $20/month for Gemini Advanced. API costs vary, but Gemini is consistently around 60% cheaper than Claude per query. Admix bundles both starting at $8.99/month.
Can I use Claude and Gemini in one app?
Yes. Admix and Poe both support running queries on both models. Admix is the only option that runs the same prompt through both simultaneously and displays answers side by side.
Which has the longer context window, Claude or Gemini?
Gemini 3 Pro has a 2 million token context window, double Claude's 1 million. For analyzing very large documents or codebases in one shot, Gemini is the better choice.
Is Gemini faster than Claude?
Yes. Gemini 3 Pro outputs around 112 tokens per second versus Claude Opus 4.7 at 61. For interactive chat and high-volume generation, Gemini feels noticeably snappier.
Sources
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