GPT-5.4 vs Claude Sonnet 4.6:
Cost, Quality & Best Use Cases (2026)
Head-to-head comparison of GPT-5.4 and Claude Sonnet 4.6 — the two dominant mid-to-premium AI APIs in 2026. Pricing, context window, coding quality, and which to choose for your workload. Last verified: 2026-04-01.
GPT-5.4 at $2.50/M input is cheaper than Claude Sonnet 4.6 at $3.00/M input — a 17% advantage. Both offer 1M token context. Claude Sonnet 4.6 leads on coding benchmarks and instruction-following for agentic tasks. GPT-5.4 leads on breadth of tooling ecosystem and function-calling integration. For most use cases, the quality difference is marginal — choose based on ecosystem fit and test on your actual prompts.
Side-by-Side Pricing Comparison
| Spec | GPT-5.4 | Claude Sonnet 4.6 |
|---|---|---|
| Input price | $2.50 / 1M tokens | $3.00 / 1M tokens |
| Output price | $15.00 / 1M tokens | $15.00 / 1M tokens |
| Context window | 1M tokens | 1M tokens |
| Batch pricing (input) | $1.25 / 1M | $1.50 / 1M |
| Batch pricing (output) | $7.50 / 1M | $7.50 / 1M |
| Prompt caching (read) | — | $0.30 / 1M |
| Provider | OpenAI | Anthropic |
| Context note | Standard pricing under 270k token threshold | Full 1M context at standard rate |
Real Cost Scenarios
| Scenario | Tokens/Month | GPT-5.4 Cost | Sonnet 4.6 Cost | Difference |
|---|---|---|---|---|
| Startup (10M in / 3M out) | 13M | $70 | $75 | GPT-5.4 saves $5 |
| Mid-scale (100M in / 30M out) | 130M | $700 | $750 | GPT-5.4 saves $50 |
| Enterprise (1B in / 300M out) | 1.3B | $7,000 | $7,500 | GPT-5.4 saves $500 |
| Cached-context app (Sonnet caching) | 100M in | $250 | $30 (cache reads) | Sonnet saves $220 |
Input/output ratio assumed 10:3. Cache scenario: 100M tokens read from cache at $0.30/M vs $2.50/M standard input.
Quality Comparison by Task Type
| Task | GPT-5.4 | Claude Sonnet 4.6 | Notes |
|---|---|---|---|
| Code generation | Strong | Stronger | Sonnet leads on SWE-bench coding evals |
| Instruction following | Strong | Stronger | Sonnet less prone to hallucinating constraints |
| Multilingual tasks | Stronger | Strong | GPT-5.4 trained on broader language data |
| Long document analysis | Strong | Strong | Both 1M context — effectively tied |
| Agentic / tool use | Strong | Stronger | Sonnet more reliable on multi-step tool chains |
| Function calling | Stronger | Strong | OpenAI tooling ecosystem more mature |
| Creative writing | Strong | Stronger | Sonnet produces more nuanced long-form |
| Math / reasoning | Strong | Strong | Both comparable on standard reasoning benchmarks |
Cheapest Option by Use Case
Ecosystem Considerations
Choose GPT-5.4 if:
- You're already in the OpenAI ecosystem (Assistants API, fine-tuning, Azure OpenAI)
- You need OpenAI's function calling format with existing tooling that targets OpenAI schemas
- Multilingual performance is critical
- You need slightly lower input cost without prompt caching
- Your team has more familiarity with GPT-era prompt engineering
Choose Claude Sonnet 4.6 if:
- Coding quality is the primary criterion — Sonnet consistently leads on SWE-bench
- You have a large, repeated system prompt or document context — prompt caching at $0.30/M is a major cost lever
- You're building agentic systems with multi-step tool chains
- Instruction-following consistency matters for your use case (fewer constraint hallucinations)
- You prefer Anthropic's Constitutional AI safety approach
When Context Window Matters
Both models offer 1M token context. For reference:
- 1M tokens ≈ 750,000 words ≈ a 3,000-page book
- Large codebases (100K–500K tokens) fit comfortably in both
- The GPT-5.4 note: standard pricing applies under a 270k token threshold; verify with OpenAI if your prompts regularly exceed this
- Claude Sonnet 4.6: full 1M context at standard $3/M rate, with no tiered pricing threshold
Batch API Comparison
For async, non-latency-sensitive workloads (evals, data enrichment, classification at scale), both offer ~50% batch discounts:
- GPT-5.4 batch: $1.25/M input, $7.50/M output
- Claude Sonnet 4.6 batch: $1.50/M input, $7.50/M output
GPT-5.4 batch is $0.25/M cheaper on input. For output-heavy batch jobs, they're equivalent.
Frequently Asked Questions
Is GPT-5.4 better than Claude Sonnet 4.6?
Neither is universally better. GPT-5.4 is cheaper at $2.50/M input vs $3.00/M, and stronger in multilingual tasks and OpenAI ecosystem integration. Claude Sonnet 4.6 leads on coding benchmarks, instruction-following, and agentic reliability. For most applications, the quality difference is small — run both on your actual use case before committing.
Which is cheaper for large-scale production?
At standard pricing, GPT-5.4 saves ~17% on input costs. However, if your app reuses the same context (system prompt, documents) across many requests, Claude Sonnet 4.6's prompt caching at $0.30/M cache reads can make it dramatically cheaper — often saving 85–90% on the cached portion of input cost.
Which has better context window quality?
Both support 1M token contexts. Note that GPT-5.4 has a pricing threshold at 270k tokens. Claude Sonnet 4.6 applies the same $3/M rate across the full context. For actual long-context performance (recall, coherence at 200k–800k tokens), developers report both models perform well, with slight Sonnet advantage on structured document tasks.
Can I switch between GPT-5.4 and Claude Sonnet 4.6?
Yes, with prompt adjustments. The API call structure differs (OpenAI chat completions format vs Anthropic Messages API), but both are well-documented and widely supported by frameworks like LangChain, LlamaIndex, and LiteLLM. Switching takes a day or two of engineering, not weeks.
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