Intelligence
13.7
14
General reasoning and benchmark headroom.
LimitedOpenAI: GPT-4 Turbo is a premium-priced multimodal generalist from OpenAI with heavy runtime profile, extended context posture, and the clearest fit around long-context research / multimodal.
Benchmark blend
Dev workflow signal
Extended
Premium tier
OpenAI: GPT-4 Turbo currently reads as a premium multimodal option with extended context and a heavy runtime profile.
Decision Strip
Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.
General reasoning and benchmark headroom.
LimitedTTFT 1.26s
SituationalHow much prompt and task state can stay in view.
Competitive$30.00 output / 1M
ExpensiveEditorial Profile
Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
OpenAI multimodal profile
Long-context research / Multimodal with extended context and heavy runtime.
Premium spend profile. Best when the upside justifies tighter budget control.
Large context headroom supports repo-wide prompts and long research sessions.
Vision-capable routing opens up multimodal review and extraction workflows.
Pricing sits in premium territory, so bulk usage needs tighter cost controls.
Latency profile is better for deliberate runs than rapid back-and-forth chat.
Image-grounded review, multimodal extraction, and UI audit workflows.
Long-context summarization, repo analysis, and policy or document review.
Benchmarks
Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.
Broad reasoning, knowledge depth, and flagship benchmark posture.
Software implementation, debugging quality, and coding benchmark signal.
Formal reasoning, structured problem solving, and competition-style math.
Specs & Pricing
Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.
This model trades into premium territory. It makes sense when capability upside matters more than raw volume efficiency.
Metadata
Verification details remain available, but the page no longer forces them ahead of the editorial read.