ModelRefs / Claude 3.5 Haiku vs GPT-4o
Claude 3.5 Haiku vs GPT-4o
Claude 3.5 Haiku vs GPT-4o: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
Claude 3.5 Haiku: Claude 3.5 Haiku is Anthropic's fast, low-cost model from late 2024, built for high-volume work such as classification, extraction and routing across a 200,000-token context window. The claude-3-5-haiku-20241022 snapshot was deprecated on 19 December 2025 and retired on Anthropic-operated platforms on 19 February 2026, with Claude Haiku 4.5 named as its replacement.
GPT-4o: GPT-4o is OpenAI's May 2024 multimodal flagship, accepting text and image input across a 128,000-token context window with a 16,384-token maximum output and an October 2023 knowledge cutoff. OpenAI describes it as its most capable model outside the o-series reasoning line, and serves it through dated snapshots with gpt-4o-2024-08-06 as the default. The family is now deprecated on two schedules: gpt-4o-2024-08-06 and gpt-4o-2024-11-20 shut down on 14 January 2027 with gpt-6-luna as the replacement, and the original gpt-4o-2024-05-13 snapshot on 23 October 2026 with gpt-5.6-sol.
Context window: Claude 3.5 Haiku accepts up to 200,000 tokens, GPT-4o up to 128,000. Confirm the limit for your specific deployment channel before relying on it.
Claude 3.5 Haiku vs GPT-4o at a glance
| Attribute | Claude 3.5 Haiku | GPT-4o |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Released | 2024-11-04 | 2024-05-13 |
| Context window | 200,000 tokens | 128,000 tokens |
| Input price | $0.8/M tokens | $2.5/M tokens |
| Output price | $4/M tokens | $10/M tokens |
| Licence | Proprietary | Proprietary |
| Self-hostable | No, hosted only | No, hosted only |
| Modalities | text | text, vision, audio |
Benchmarks reported for both
| Benchmark | Claude 3.5 Haiku | GPT-4o | Reported |
|---|---|---|---|
| GPQA Diamond (accuracy) | 41.6 | 49.9 | 2024-11-21 |
Each row compares the same benchmark, the same reported metric, and the same task set. Scores are as published by their cited sources on the dates shown. Different runs still use different harnesses and prompts, so treat these as directional evidence rather than a head-to-head result.
Where they differ most
- Reasoning: Claude 3.5 Haiku 25%, GPT-4o 61%. GPT-4o leads on this dimension.
- Cost Efficiency: Claude 3.5 Haiku 65%, GPT-4o 46%. Claude 3.5 Haiku leads on this dimension.
Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Claude 3.5 Haiku vs GPT-4o.
Frequently asked questions
Which is better, Claude 3.5 Haiku or GPT-4o?
Claude 3.5 Haiku and GPT-4o target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is Claude 3.5 Haiku cheaper than GPT-4o?
Compare $0.00080 vs $0.00250 on this page.