GPT-4o wins on coding (58 vs 52). Claude 4 Haiku wins on writing quality and price ($0.8 vs $2.5/1M input) and context window (200K vs 128K). For most workflows, Claude 4 Haiku is the stronger default — best low-cost writing option for fast-moving content teams.
The safest GPT-4o vs Claude 4 Haiku default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Claude 4 Haiku is the strongest answer here for GPT-4o vs Claude 4 Haiku — pick it when quality of output matters more than the $0.80/1M/1M input you pay for it.
Claude Opus 4.5 is the cheaper way in for GPT-4o vs Claude 4 Haiku, at $5.00/1M/1M input against Claude 4 Haiku's $0.80/1M/1M.
GPT-4o is the fastest of these for GPT-4o vs Claude 4 Haiku — worth it when latency is what the reader notices, not the last few points of reasoning depth.
GPT-4o leads on coding with a score of 58 vs 52 for Claude 4 Haiku.
Claude 4 Haiku has the larger context window: 200K vs 128K for GPT-4o.
Claude 4 Haiku is cheaper at $0.8/1M input tokens vs $2.5/1M for GPT-4o.
Claude 4 Haiku is the safer default: it is built for fast budget writing, support automation, and cost-sensitive Anthropic integrations, which covers most of what people bring to this comparison.
Switch to GPT-4o when your work is mostly multimodal tasks and image-adjacent workflows; on that narrower brief it is the better tool.
Both models serve different primary workflows — Claude 4 Haiku for fast budget writing and support automation, GPT-4o for multimodal tasks and image-adjacent workflows — so running each where it has a clear edge often beats forcing one to do both.
Switch the scoring lens to see whether the GPT-4o vs Claude 4 Haiku answer changes when cost, speed, or long-document depth leads the decision.
Anthropic / Budget / Mar 24, 2026
Best low-cost writing option for fast-moving content teams.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
Cost is your only concern — Gemini 3.1 Flash offers similar value with a larger context window.
Where the GPT-4o vs Claude 4 Haiku recommendation shifts once you weigh price or latency differently.
Best all-around pick for image-heavy and multimodal workflows.
Best low-cost writing option for fast-moving content teams.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Claude 4 HaikuAnthropic | $0.80/1M | $4.00/1M | $16 | 200k tokens | Very fast | 52 | 85 | 62 |
| GPT-4oOpenAI | $2.50/1M | $10.00/1M | $45 | 128k tokens | Fast | 58 | 76 | 65 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for GPT-4o vs Claude 4 Haiku, what it is genuinely good at, and where we would steer you away from it.
Ranked first here for GPT-4o vs Claude 4 Haiku: 85/100 on writing, with the widest margin of anything in this line-up.
Fast and affordable Anthropic option that keeps writing quality surprisingly high for the price.
Cost is your only concern — Gemini 3.1 Flash offers similar value with a larger context window.
The best pick when you want Anthropic quality at a budget price point — especially for writing-heavy automations.
Full pricing, benchmark table and release notes on the Claude 4 Haiku page.
Here for latency: it answers fastest of anything listed for GPT-4o vs Claude 4 Haiku, at 76/100 on writing.
Versatile multimodal model that handles image-related workflows and mixed-media prompts well.
You need the latest reasoning or coding performance — GPT-5.4 replaces it for serious work.
Still a reliable multimodal pick, especially for teams already in the OpenAI ecosystem.
Full pricing, benchmark table and release notes on the GPT-4o page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Claude 4 Haiku wins on more of the categories we score — writing, budget, research — so it is the better default of the two. GPT-4o is the better pick when your work is mostly multimodal tasks and image-adjacent workflows. Neither is universally "better": Claude 4 Haiku is aimed at fast budget writing and support automation, GPT-4o at multimodal tasks and image-adjacent workflows.
Claude 4 Haiku is cheaper at $0.8/1M input and $4/1M output. GPT-4o costs $2.5/1M input and $10/1M output.
Claude 4 Haiku has the larger context window at 200K tokens vs GPT-4o's 128K. For large document analysis, Claude 4 Haiku is the stronger pick.
GPT-4o is better for coding with a score of 58 vs Claude 4 Haiku's 52 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
Claude 4 Haiku is faster with a very fast speed rating (score: 5) vs GPT-4o's fast rating (score: 4). Speed matters most for interactive and high-throughput work; for batch jobs the GPT-4o latency penalty is usually invisible.
Less strong on deep reasoning and coding than larger models. Gemini 3.1 Flash-Lite is now cheaper with a larger context window. Avoid it if cost is your only concern — Gemini 3.1 Flash offers similar value with a larger context window. That is the main case for looking at GPT-4o instead.
Outclassed by newer models on pure coding and reasoning. Gemini 3.1 Pro now handles multimodal at a lower price. Avoid it if you need the latest reasoning or coding performance — GPT-5.4 replaces it for serious work. Against Claude 4 Haiku specifically, the gap shows up most on coding (52 vs 58).
Take a moderate workload of 10M input and 2M output tokens a month. GPT-4o runs $45.00 (at $2.5/1M in and $10/1M out); Claude 4 Haiku runs $16.00 (at $0.8/1M in and $4/1M out). That is a $29.00/month difference — Claude 4 Haiku is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.
Yes, and for most teams that beats picking one. A common split is Claude 4 Haiku for fast budget writing and support automation, with GPT-4o handling multimodal tasks and image-adjacent workflows. Since Claude 4 Haiku is both the stronger and the cheaper option here, a split mainly makes sense if GPT-4o covers a capability you specifically need.