Claude Sonnet 5 (Adaptive Reasoning, Max Effort) vs GPT-4o (Nov '24): The Ultimate Performance & Pricing Comparison
Deep dive into reasoning, benchmarks, and latency insights.
The Final Verdict in the Claude Sonnet 5 (Adaptive Reasoning, Max Effort) vs GPT-4o (Nov '24) Showdown
The current catalog does not contain complete performance evidence for both models, so this page does not declare an overall winner. Use the available fields as comparison signals and validate the models on your own workload.
Model Snapshot
Key decision metrics at a glance.
Machine-readable comparison data
| Model | Metric | Value | Unit | Source / snapshot |
|---|---|---|---|---|
| Claude Sonnet 5 (Adaptive Reasoning, Max Effort) | Reasoning | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-4o (Nov '24) | Reasoning | 1.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Claude Sonnet 5 (Adaptive Reasoning, Max Effort) | Coding | 7.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-4o (Nov '24) | Coding | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Claude Sonnet 5 (Adaptive Reasoning, Max Effort) | Multimodal | 4.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-4o (Nov '24) | Multimodal | 1.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Claude Sonnet 5 (Adaptive Reasoning, Max Effort) | Long Context | 7.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-4o (Nov '24) | Long Context | 1.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Claude Sonnet 5 (Adaptive Reasoning, Max Effort) | Blended Price / 1M tokens | $4 | USD per 1M tokens | Artificial Analysis · current catalog |
| GPT-4o (Nov '24) | Blended Price / 1M tokens | $4.375 | USD per 1M tokens | Artificial Analysis · current catalog |
| Claude Sonnet 5 (Adaptive Reasoning, Max Effort) | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| GPT-4o (Nov '24) | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| Claude Sonnet 5 (Adaptive Reasoning, Max Effort) | Tokens per second | 89.078 | tokens per second | Artificial Analysis · current catalog |
| GPT-4o (Nov '24) | Tokens per second | — | tokens per second | Artificial Analysis · current catalog |
Data provided by Artificial Analysis; live values use the current catalog.
Overall Capabilities
This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Claude Sonnet 5 (Adaptive Reasoning, Max Effort)` vs `GPT-4o (Nov '24)`.
Benchmark Breakdown
This grouped bar chart provides a side-by-side comparison for each benchmark metric.
Speed & Latency
Lower time to first token is better; higher tokens per second is better.
The Economics of Claude Sonnet 5 (Adaptive Reasoning, Max Effort) vs GPT-4o (Nov '24)
Pricing Breakdown
Compare input and output pricing in USD per 1M tokens.
Real-World Cost Scenario
Per run: 1M input tokens + 250k output tokensClaude Sonnet 5 (Adaptive Reasoning, Max Effort)$4.5
GPT-4o (Nov '24)$5
Claude Sonnet 5 (Adaptive Reasoning, Max Effort) costs $0.5 less per run
Claude Sonnet 5 vs GPT-4o (Nov '24): Which Model Should Developers Choose?
This article is a dated snapshot published on 2026-08-07. Live cards above use the current catalog; missing live fields are not inferred.

- Winner overall: Claude Sonnet 5, with an Artificial Analysis Intelligence Index of 53.4 vs 11.2
- Cheaper: Claude Sonnet 5 at $4 vs $4.375 per 1M blended tokens
- Faster: Claude Sonnet 5 at 89.078 median output tokens per second, while GPT-4o has no reported value
- Pick Claude Sonnet 5 when: coding, agentic workflows, or general intelligence matter more than compatibility with an existing GPT-4o integration
- Watch out: GPT-4o has no comparable reported output-speed value, and its current availability and pricing remain unconfirmed
Claude Sonnet 5 vs GPT-4o (Nov '24)
Claude Sonnet 5 is the stronger default for new developer workloads, while GPT-4o (Nov '24) remains difficult to evaluate because current official documentation does not confirm its availability, price, or version details. Artificial Analysis reports an Intelligence Index of 53.4 for Claude Sonnet 5 and 11.2 for GPT-4o, with equal latency at 0.3 seconds. Data provided by https://artificialanalysis.ai/
Claude Sonnet 5 also reports a median output speed of 89.078 tokens per second, while the GPT-4o comparison has no reported value. The price comparison favors Claude Sonnet 5 at $4 versus $4.375 per 1M blended tokens. Artificial Analysis data
Anthropic describes Claude Sonnet 5 as a balance of speed and intelligence and lists claude-sonnet-5 as its API identifier and stable alias. Anthropic's model overview OpenAI's current model directory does not list gpt-4o, so developers should treat GPT-4o's present status as an unresolved procurement and integration risk. OpenAI Models
Executive summary
Claude Sonnet 5 offers the clearer production choice because its measured general capability, published API identity, and current pricing are all easier to verify. Artificial Analysis gives Claude Sonnet 5 an Intelligence Index of 53.4 against 11.2 for GPT-4o, a reported gap of 42.2 points. Artificial Analysis data
GPT-4o has one measured advantage that is not actually a demonstrated advantage: neither model has a lower reported latency, because both are listed at 0.3 seconds. GPT-4o's missing output-speed value prevents a fair throughput conclusion. The available data therefore supports a capability and evidence advantage for Claude Sonnet 5, but not a complete operational superiority claim. Artificial Analysis data
The version situation reinforces that asymmetry. Anthropic says Claude Sonnet 5 was released on 2026-06-30 and remains available through its documented platforms. Introducing Claude Sonnet 5 OpenAI's supplied model directory does not confirm whether GPT-4o is still directly callable, retired, or replaced. OpenAI Models
Developers should choose Claude Sonnet 5 for a new system unless an existing product depends on GPT-4o-specific behavior. Developers should validate that dependency before migration, because the supplied evidence does not establish GPT-4o's current API contract.
Performance: what the chart does not show
Claude Sonnet 5 is the better-supported performance choice, but the available benchmark evidence does not prove superiority across every developer task. Artificial Analysis reports a 53.4 Intelligence Index for Claude Sonnet 5 and 11.2 for GPT-4o, while reporting no comparable GPT-4o coding index and no Claude Sonnet 5 math index. Artificial Analysis data
That missing cross-category coverage matters. A developer building a general assistant, coding agent, or research workflow can reasonably treat the intelligence result as a strong signal toward Claude Sonnet 5. A developer selecting a math-heavy model cannot infer a winner from GPT-4o's reported math value of 6, because the corresponding Claude Sonnet 5 value is absent. The evidence supports a directional choice, not a universal leaderboard.
Claude Sonnet 5's reported median output speed of 89.078 tokens per second gives it a measurable throughput signal. GPT-4o has no reported value in the supplied comparison, so the chart cannot establish whether GPT-4o is slower, faster, or simply unmeasured. Equal latency at 0.3 seconds suggests similar request-start behavior, but it says less about long responses, reasoning effort, tool loops, or end-to-end agent completion. Artificial Analysis data
Anthropic says Sonnet 5 targets reasoning, tool use, coding, knowledge work, agentic search, and computer use. Introducing Claude Sonnet 5 Community reports are mixed: some users describe strong complex coding performance, while others report long autonomous iterations and high usage. Complex coding tasks First impressions Those reports lack reproducible test methods, so they should inform pilot design rather than replace it.
Cost: the cheaper model can still cost more
Claude Sonnet 5 has the lower measured token price, but workload shape and migration behavior determine whether that advantage reaches the application budget. Artificial Analysis lists $4 for Claude Sonnet 5 and $4.375 for GPT-4o per 1M blended tokens. Input pricing is $2 versus $2.5, while output pricing is $10 for each model. Artificial Analysis data
The practical saving is concentrated in input tokens and blended usage. Output-heavy workloads do not gain a listed price advantage, because both models are priced at $10 per 1M output tokens in the comparison. Retrieval-heavy systems, repeated context injection, and large agent prompts are more likely to benefit from Claude Sonnet 5's lower input price.
Anthropic's official pricing page also distinguishes introductory pricing from standard pricing, which makes the headline price time-sensitive. Anthropic pricing A team budgeting a long-lived deployment should model the documented pricing transition rather than assume the introductory rate remains permanent.
Claude Sonnet 5 can become more expensive operationally if an integration carries forward old token budgets or produces lengthy reasoning traces. Anthropic documents adaptive thinking, total output-budget consumption, and a newer tokenizer that can change token counts. What's new in Claude Sonnet 5 The supplied evidence does not quantify the resulting cost increase for a real workload. Developers should measure tokens, retries, tool calls, and completed tasks during a pilot instead of using list price alone.
GPT-4o's current official price is itself uncertain. OpenAI's pricing directory does not list gpt-4o, so a verified production quote cannot be derived from the supplied official material. OpenAI Pricing
Claude Sonnet 5 (Adaptive Reasoning, Max Effort) leads on 2 of 3 metrics
Recommendation for developers
Claude Sonnet 5 is the recommended starting point for new applications that need strong general reasoning, coding support, or agentic behavior with a documented API identity. Anthropic documents claude-sonnet-5, adaptive thinking, supported platforms, and current model status. Anthropic's model overview What's new in Claude Sonnet 5
Choose Claude Sonnet 5 when the application evaluates broad intelligence, code generation, tool coordination, or long-running work. The Artificial Analysis Intelligence Index of 53.4 provides the strongest comparable result in the supplied data, and the reported 89.078 median output tokens per second gives developers a concrete throughput signal. Artificial Analysis data
Choose GPT-4o only when an existing system has a verified dependency on its behavior, deployment path, or historical outputs. The supplied OpenAI documentation does not confirm a current GPT-4o listing, stable alias, dedicated release information, or current price. OpenAI Models OpenAI Pricing That uncertainty should trigger an availability check and a regression test before new investment.
Claude Sonnet 5 requires migration checks. Non-default sampling controls, manual extended thinking, and assistant-message prefilling may not be accepted under its documented API behavior. What's new in Claude Sonnet 5 Community feedback also reports pushback and defensive interactions, although the available posts do not provide reproducible rates. Pushback discussion A pilot should therefore score task completion, refusal behavior, output length, tool-call count, and total cost.
Questions developers should answer before switching
Claude Sonnet 5 is the safer default for a new evaluation, but the evidence still leaves important integration questions unanswered. The following checks separate a defensible model decision from a leaderboard-only decision.
A production pilot should compare completed tasks rather than isolated response quality. The supplied materials establish a strong intelligence signal for Claude Sonnet 5, but they do not establish GPT-4o's current API availability, output speed, or version-specific failure profile. OpenAI Models Artificial Analysis data
Sources
- Artificial AnalysisMeasured intelligence, coding, math, pricing, latency, and output-speed data
- Anthropic Model OverviewClaude Sonnet 5 API identity, availability, positioning, and supported capabilities
- What's new in Claude Sonnet 5Adaptive thinking, API parameter restrictions, tokenizer behavior, prefilling, and migration risks
- Anthropic PricingIntroductory and standard pricing context
- Introducing Claude Sonnet 5Release date, official positioning, and targeted capabilities
- OpenAI ModelsCurrent model directory and uncertainty around GPT-4o availability
- OpenAI PricingCurrent pricing directory and absence of a listed GPT-4o price
- Sonnet 5 First Impressions ThreadUnstructured community reports about long autonomous work and usage
- I tested Sonnet 5 on several complex coding tasksUnstructured community coding experience
- Sonnet 5: These forced “Push Backs” are getting out of handCommunity reports about defensive or argumentative interaction behavior
Your Questions about the Claude Sonnet 5 (Adaptive Reasoning, Max Effort) vs GPT-4o (Nov '24) Comparison
Is Claude Sonnet 5 better than GPT-4o for coding?
Claude Sonnet 5 is the better-supported coding choice because Artificial Analysis reports a coding index of 71.5, while no comparable GPT-4o coding value appears in the supplied data. Artificial Analysis data Community coding reports are positive but lack reproducible task lists and scoring methods, so teams should still run repository-specific tests before switching. Complex coding tasks
Which model is cheaper for API workloads?
Claude Sonnet 5 is cheaper in the supplied comparison at $4 versus $4.375 per 1M blended tokens, with input pricing at $2 versus $2.5 and equal output pricing at $10. Artificial Analysis data Actual savings depend on input-heavy usage, token counts, reasoning behavior, retries, and Anthropic's documented pricing transition. Anthropic pricing
Is GPT-4o (Nov '24) still available?
The supplied evidence does not confirm that GPT-4o (Nov '24) remains available, has been retired, or has been replaced. OpenAI's current model directory does not list gpt-4o, and the supplied materials do not provide a stable alias or current price. OpenAI Models Developers should verify access directly before planning a new dependency.
Does equal latency make the models equally fast?
Equal reported latency does not establish equal response speed because both models show 0.3 seconds for latency, while only Claude Sonnet 5 has a reported median output speed of 89.078 tokens per second. Artificial Analysis data Long responses, reasoning, tool calls, streaming behavior, and retries can change end-to-end completion time.
What is the main migration risk with Claude Sonnet 5?
The main migration risk is API behavior change, because Anthropic documents restrictions affecting manual extended thinking, non-default sampling parameters, assistant-message prefilling, and output budgeting. What's new in Claude Sonnet 5 Existing integrations should test request validation, truncation, structured output, and refusal handling before release.