Lumière
Vol. I

An assistant that reads before it speaks.

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Frontier model comparison
live · Gemini 2.5
Compare Claude 4.7, GPT-5.5, and Gemini 3.1 Pro.
Lumière·Opus

The user wants a comparison across three frontier models. To answer well I should pull recent release notes, an independent benchmark source, and at least one piece of editorial coverage to capture deployment patterns.

I'll structure the response as: brief landscape framing → benchmarks → where each shines → a small code heuristic. Citations should be tight, not overload sentences with refs.

Verify that the benchmark numbers I cite trace to the independent source, not the labs themselves, so the comparison isn't lab-biased.

A
anthropic.com
Claude 4.7: extended reasoning, 1M context, agentic tool use
Claude 4.7 ships with always-on extended reasoning, a 1M-token context window, and dramatic gains on agentic and long-horizon coding tasks.
01
O
openai.com
GPT-5.5 Release Notes: persistent memory, native multimodal
GPT-5.5 introduces cross-session persistent memory, native tool orchestration, and stronger creative writing benchmarks.
02
G
blog.google
Gemini 3.1 Pro: thinking mode and video understanding
Gemini 3.1 Pro brings dynamic thinking budgets, leading video understanding, and tight integration across Google Workspace.
03
α
artificialanalysis.ai
AI Model Leaderboard, Q2 2026 frontier roundup
Independent benchmarking across reasoning, coding, math, and multimodal tasks for the spring-2026 frontier.
04
T
techcrunch.com
The frontier shifts: what's changed since Claude 4
Production teams report a clear divergence in fit by task type. Workflow integration matters more than benchmark deltas.
05
V
theverge.com
The state of AI: spring 2026
Where the major labs stand on capability, safety, and deployment in the spring of 2026.
06

The frontier in spring 2026

The frontier-model landscape has reshuffled meaningfully over the past two quarters. Anthropic's Claude 4.71 now ships with always-on extended reasoning, a 1M-token context window, and step-change gains on long-horizon coding and agentic tasks. OpenAI's GPT-5.52 introduced cross-session persistent memory and tightened its native multimodal stack. Google's Gemini 3.1 Pro3 doubled down on dynamic thinking budgets and remains best-in-class for video understanding and Workspace.

Benchmark snapshot

According to Artificial Analysis4, the picture on key reasoning benchmarks is tighter than the marketing suggests:

  • GPQA Diamond: Claude 4.7 (87.4%) edges out GPT-5.5 (85.9%) and Gemini 3.1 Pro (83.1%)
  • SWE-bench Verified: Claude 4.7 leads at 74.8%, with GPT-5.5 at 71.2% and Gemini 3.1 Pro at 66.4%
  • MMLU-Pro: all three sit within a point of 91%

Where each shines

Claude 4.71 is the consensus pick for long-context analysis and serious code work; engineering teams report the deepest fit on real-world coding agents5. GPT-5.52 keeps the lead in creative writing, conversational warmth, and chained tool orchestration. Gemini 3.1 Pro3 is unmatched on video understanding and the only frontier model with first-class Workspace integration.

For most production use cases, the differentiator is less about raw capability and more about workflow fit56.
ts// rough fit-by-task heuristic
const recommend = (task: Task) =>
  task.kind === "long-context-code"  ? "claude-4-7"      :
  task.kind === "creative-writing"   ? "gpt-5-5"         :
  task.kind === "multimodal-video"   ? "gemini-3-1-pro"  :
  "any-frontier-model";

Want me to dig deeper into any specific dimension, pricing, latency, or agent-task performance?

MMXXVI