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GPT-5 vs Claude vs Gemini in OpenClaw: Which Model Wins? (March 2026)

OpenClaw v2026.3.7-beta added explicit support for GPT-5.4 and Gemini 3.1 Flash with automatic model failover. We benchmarked all three on the task types OpenClaw users run most. Here's what we found.

Quick verdict

GPT-5.4 Claude Sonnet 4.6 Gemini 2.5 Pro
SWE-Bench score 74.9% 72.7% 63.8%
Context window 1M tokens 200K tokens 2M tokens
Input cost / 1M $15 $3 $1.25
Output cost / 1M $60 $15 $10
Best for Max reasoning Best value Long docs
OpenClaw support v2026.3.7+ All versions v2026.1+

Task-by-task breakdown

Winner

Email triage & drafting — Claude Sonnet 4.6

Best instruction-following, writes in your voice with consistent tone. GPT-5 is overkill for this task category and costs 5x more. Gemini is adequate but produces less consistent brand voice across threads.

Winner

Coding & dev tasks — GPT-5.4

GPT-5.4 tops SWE-Bench at 74.9%. For complex refactoring or architectural work, GPT-5 edges Claude by a meaningful margin. That said, for everyday PRs and code review, Claude Sonnet is 5x cheaper with near-identical results.

Winner

Research & long documents — Gemini 2.5 Pro

Gemini 2.5 Pro's 2M token context window handles entire books, legal documents, or large datasets in one pass. For research tasks where cost matters, Gemini wins decisively — $1.25/M input vs $15 for GPT-5.

Winner

Autonomous multi-step agents — Claude Sonnet 4.6

Best tool-calling consistency and lowest hallucination rate on long agentic chains. GPT-5 is strong but costs 5x more for equivalent agent reliability. For production agents running 24/7, Claude Sonnet is the most economical choice with the best error profile.

OpenClaw Auto-Failover: Use Multiple Models Together

OpenClaw v2026.3.7-beta introduced automatic model failover. Configure a primary model (e.g., Claude Sonnet 4.6) and a fallback chain (e.g., Gemini 2.5 Flash). If the primary provider is rate-limited, over quota, or unavailable, OpenClaw silently retries on the fallback — no task failure, no manual intervention.

1

Set primary model

Claude Sonnet 4.6 for best value on most tasks.

2

Configure fallback

Gemini 2.5 Flash for cost-efficient failover.

3

GetClaw manages credentials

All three provider API keys managed in one place — Anthropic, OpenAI, Google.

Cost comparison: 100 tasks/day for 30 days

Assuming ~5,000 tokens per task (mixed input/output).

Model Volume Monthly cost estimate
GPT-5.4 100 × ~5K tokens $390–$975/mo
Claude Sonnet 4.6 100 × ~5K tokens $78–$195/mo
Gemini 2.5 Flash 100 × ~5K tokens $12–$30/mo
Claude Haiku 4.5 100 × ~5K tokens $7–$18/mo

GetClaw Hosting adds a flat monthly fee for your dedicated gateway — no per-token markup on your API calls.

Frequently asked questions

Which AI model is best for OpenClaw in 2026?
Claude Sonnet 4.6 is the best all-round choice — used by 55% of OpenClaw users, 72.7% SWE-Bench, and 5x cheaper than GPT-5 for equivalent results on most tasks. Use GPT-5.4 for maximum reasoning depth, and Gemini 2.5 Pro when you need a 2M token context window for large documents.
Does OpenClaw support GPT-5?
Yes. OpenClaw v2026.3.7-beta added explicit support for GPT-5.4 via the OpenAI provider. Earlier versions support GPT-4o and GPT-4.1. You need an OpenAI API key with GPT-5.4 access. GetClaw Hosting configures multi-provider support so you can run GPT-5, Claude, and Gemini simultaneously with automatic failover.
Can OpenClaw switch between models automatically?
Yes. OpenClaw v2026.3.7-beta introduced automatic model failover and retry. You configure a primary model and fallback chain. If the primary provider is rate-limited or unavailable, OpenClaw switches to the fallback automatically. GetClaw Hosting manages credentials for all three major providers (Anthropic, OpenAI, Google) out of the box.

Run any model on OpenClaw — we handle the gateway config

GetClaw Hosting manages your Anthropic, OpenAI, and Google provider credentials in one place with automatic failover, spend caps, and zero infrastructure work.