Claude Haiku 4.5 vs GPT-5.4 mini: The Budget Model Showdown (Successors to the Older Haiku and 4o mini)
Claude Haiku 4.5 costs $1/$5 per 1M tokens; GPT-5.4 mini costs $0.75/$4.50. The older Haiku and 4o mini rows are legacy — and the price gap between the two budget tiers has almost closed.
Quick verdict
Near price parity. GPT-5.4 mini for OpenAI-native volume; Claude Haiku 4.5 for coding and agent sub-tasks. Both cost about a third of their flagship siblings.
Summary
GPT-5.4 mini is marginally cheaper: $0.75/1M input and $4.50/1M output against Claude Haiku 4.5's $1/$5 — a 10% gap on output, or $45 versus $50 per 10M output tokens. If you searched for the previous Haiku-versus-4o-mini matchup, both are legacy rows; the old 6–7x gap has collapsed to near parity, so pick on quality and ecosystem, not price. The genuine budget floor is now GPT-5.4 nano at $0.20/$1.25.
Quick Decision
Near price parity. GPT-5.4 mini for OpenAI-native volume; Claude Haiku 4.5 for coding and agent sub-tasks. Both cost about a third of their flagship siblings.
Choose Claude Haiku 4.5 if…
- ✓Coding automation, test generation and structured-output tasks where Claude's instruction-following is noticeably better
- ✓Teams already standardised on Anthropic's API who want a cheaper tier without switching providers — with the same prompt-caching and batch discounts as Sonnet 5
- ✓Agent sub-tasks where consistent tool-call formatting matters more than a 10% price difference
Choose GPT-5.4 mini if…
- ✓High-volume production workloads: chat, summarisation, classification and extraction at scale
- ✓Teams that want the cheapest capable model with OpenAI API compatibility and a 400K context
- ✓Developers who want the broadest third-party tooling support at the lowest token price
Cheapest option: GPT-5.4 mini
GPT-5.4 mini costs 10% less than Claude Haiku 4.5 per output token — a small gap. If cost is the only criterion, GPT-5.4 nano at $0.20/$1.25 is the model to test.
Pricing Comparison
Claude Haiku 4.5
Anthropic
Input: $1.000/1M tokens
Output: $5.000/1M tokens
Coding automation, structured output, agent sub-tasks and workflows where Anthropic's instruction-following and tool-use reliability are valued.
GPT-5.4 mini
OpenAI
Input: $0.750/1M tokens
Output: $4.500/1M tokens
High-volume chat, summarisation, classification and cost-sensitive deployments inside the OpenAI ecosystem.
Pricing and plans verified
Real-World Cost Implications
Processing 10M output tokens: GPT-5.4 mini costs $45. Claude Haiku 4.5 costs $50. GPT-5.4 nano costs $12.50. For a high-volume deployment at 50M output tokens a month, the annual difference between mini and Haiku 4.5 is $300 — small enough that quality on your task should decide. The difference between either budget model and nano is around $2,000 a year at that volume, which is the routing decision worth making. In the legacy era 4o mini undercut the previous Haiku by 6–7x; that gap is gone.
Cheapest Option
GPT-5.4 mini costs 10% less than Claude Haiku 4.5 per output token — a small gap. If cost is the only criterion, GPT-5.4 nano at $0.20/$1.25 is the model to test.
Output Quality & Workflow Tradeoffs
Claude Haiku 4.5
Claude Haiku 4.5 punches above its price on coding and tool use. Its instruction-following is precise and it handles structured output reliably, which makes it a good worker model inside agent loops. Prompt caching (cached reads roughly 10% of list) and the batch API (about 50% off) apply. Context is 200K — the main practical limit versus mini's 400K.
GPT-5.4 mini
GPT-5.4 mini is the best cost-per-token model in the OpenAI ecosystem short of nano. It handles the vast majority of production use cases well — chat, summarisation, classification and light content generation — with a 400K context. Quality weaknesses appear on complex multi-step reasoning and code-heavy tasks compared with Haiku 4.5; for those, GPT-5.4 at $2.50/$15 is the in-family escalation.
When NOT to Use Each Tool
Avoid Claude Haiku 4.5 if…
- ✕Avoid Claude Haiku 4.5 if you need more than 200K tokens of context — GPT-5.4 mini carries 400K
- ✕Avoid it for pure classification at very high volume — GPT-5.4 nano at $0.20/$1.25 is 4x cheaper on output than either budget model
Avoid GPT-5.4 mini if…
- ✕Avoid GPT-5.4 mini for code-specific tasks where Haiku 4.5's instruction-following advantage is measurable on your workload
- ✕Avoid it if you prefer Anthropic's response style or already run Claude Sonnet 5 and want a consistent-behaviour budget tier
Cheapest Viable Alternative
GPT-5.4 nano ($0.20/$1.25) for classification and extraction; GPT-5.4 mini or Claude Haiku 4.5 as the general worker tier; Claude Sonnet 5 ($2/$10) or GPT-5.4 ($2.50/$15) only for the calls that need a flagship. Route code-specific tasks to Haiku 4.5 if testing shows a gap on your actual task distribution.
Our Recommendation
Pick on fit, not price: the two are within 10% of each other. Default to GPT-5.4 mini if you are in the OpenAI ecosystem; default to Claude Haiku 4.5 if you run Anthropic tooling, need reliable tool calls in agent loops, or prefer its response style. Push pure classification and extraction to GPT-5.4 nano.
If you're picking today: start with the cheaper viable option, then validate your monthly usage in the calculator before committing.
Final Verdict
Best for Quality
Claude Haiku 4.5 edges ahead on coding and tool use; GPT-5.4 mini is comparable on most other tasks and has the bigger context
Best for Budget
Near parity — GPT-5.4 mini costs 10% less on output; GPT-5.4 nano is the real budget floor
Best Hybrid Option
GPT-5.4 mini or nano as the default, Claude Haiku 4.5 for code generation and structured output where the quality difference is measurable
Frequently Asked Questions
What replaced the previous Haiku and 4o mini?
Claude Haiku 4.5 ($1/$5 per 1M tokens) is Anthropic's current budget model and GPT-5.4 mini ($0.75/$4.50) is OpenAI's. GPT-5.4 nano ($0.20/$1.25) sits below both. The older Haiku and 4o mini rows are legacy.
Which is better at coding: Claude Haiku 4.5 or GPT-5.4 mini?
Claude Haiku 4.5 generally has the edge on coding and tool-call reliability. Both are well below their flagship siblings (Sonnet 5 and GPT-5.4) for complex code, but Haiku 4.5 is the better budget choice for code-specific workflows.
Can I mix both models in one app?
Yes. Many teams use GPT-5.4 mini or nano for high-volume general tasks and Claude Haiku 4.5 for code-specific workflows — hitting both cost and quality targets without much routing complexity.
Is the price difference between mini and Haiku 4.5 worth optimising for?
Rarely. At $4.50 versus $5 per 1M output tokens, a 50M-token month differs by $25. The decision that matters is whether routine calls can drop to GPT-5.4 nano at $1.25 — that saves about $160 a month at the same volume.
Editorial context
Who is this for?
Developers, startups, and teams who want to reduce their AI API or subscription costs without sacrificing quality.
When NOT to use this
Users who need real-time data, image generation, or proprietary enterprise integrations may need more specialised tools.
Pricing insights
AI pricing varies widely — some models charge per token while others use flat subscriptions. Token-based APIs are usually cheaper for moderate usage, while subscriptions suit power users with high and consistent volume.
Alternatives to consider
Consider DeepSeek V4 Flash for cost-effective coding and writing, Gemini 3.8 Flash for fast tasks, or Claude Haiku 4.5 for lightweight structured work. Use the calculator to compare your specific usage.
Final verdict
The cheapest AI tool is the one that fits your exact workload. Use the cost calculator and decision engine on this site to find your optimal stack — most users can cut AI spend by 50% or more.
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