GPT-5.4 Mini vs Claude Sonnet 4.6: Budget Model Battle
GPT-5.4 Mini vs Claude Sonnet 4.6: Overview
GPT-5.4 mini and Claude Sonnet 4.6 occupy adjacent spots in the AI model hierarchy — both sit below their respective flagships (GPT-5.4 and Claude Opus 4.6) while offering strong performance at reduced cost. GPT-5.4 mini leans into aggressive pricing for high-volume use, while Claude Sonnet 4.6 targets balanced, reliable production workloads.
This comparison helps developers decide which model to default to for everyday tasks.
Benchmark Comparison
| Benchmark | GPT-5.4 Mini | Claude Sonnet 4.6 | Notes |
|---|---|---|---|
| SWE-bench Pro | 54.38% | Competitive | Both below their flagships |
| Terminal-Bench 2.0 | 60.0% | Mid-tier | Mini’s strongest showing |
| GPQA Diamond | 88.01% | Strong | Mini near flagship-level |
| OSWorld-Verified | 72.13% | — | Mini excels at computer use |
| Input Price | $0.15/M | Mid-tier | Mini significantly cheaper |
| Output Price | $0.60/M | Mid-tier | Mini significantly cheaper |
| Speed | >2x faster than GPT-5 mini | Fast | Both optimized for throughput |
GPT-5.4 mini’s standout number is 88.01% on GPQA Diamond — graduate-level reasoning that approaches the full GPT-5.4 (93%). This suggests the model retains most of the flagship’s intellectual horsepower despite being significantly smaller.
On coding benchmarks, GPT-5.4 mini’s 54.38% SWE-bench Pro and 60% Terminal-Bench 2.0 are strong for a budget model. Claude Sonnet 4.6 offers competitive coding performance with Anthropic’s characteristic reliability and safety features.
Pricing and Cost Efficiency
The pricing gap between these models is significant:
GPT-5.4 mini at $0.15/$0.60 per million tokens is among the cheapest capable models available. For teams processing millions of tokens daily, the cost savings over Sonnet 4.6 are substantial.
Claude Sonnet 4.6, while more expensive than mini, includes Anthropic’s safety and alignment features that some enterprise customers require. The higher cost comes with more consistent, predictable outputs and strong instruction following.
Best Use Cases for GPT-5.4 Mini
- Subagent workloads — Cheap enough to use as a worker in multi-agent systems without worrying about cost runaway
- High-volume processing — Classification, extraction, and analysis at scale where cost per request matters
- Coding assistants — Strong SWE-bench and Terminal-Bench scores at budget pricing
- Computer use — 72.13% OSWorld-Verified makes it viable for GUI automation tasks
- Multimodal apps — Near-flagship reasoning with fast inference
Best Use Cases for Claude Sonnet 4.6
- Balanced production workloads — When you need reliable, consistent outputs across diverse tasks
- Enterprise applications — Anthropic’s safety features and predictable behavior suit regulated industries
- Content generation — Sonnet’s language quality and instruction following are well-suited for writing tasks
- API-first development — Clean, well-documented API with consistent behavior
- Mixed task environments — When the same model handles coding, analysis, and text generation
Which Should You Choose?
Choose GPT-5.4 mini if cost is a primary concern and you’re running high-volume or subagent workloads. Its pricing makes it ideal for scenarios where you’d rather make 10 cheap calls than 1 expensive one.
Choose Claude Sonnet 4.6 if you need a reliable all-rounder for production. Its balanced performance, safety features, and consistent outputs make it the safer default for customer-facing applications.
Many teams use both: GPT-5.4 mini for background processing and subagent tasks, Claude Sonnet 4.6 for user-facing features where quality consistency matters most.