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GPT-4 Turbo (batch)

Last updated: 39m ago

by OpenAI · Pricing

High confidence

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.

62
Overall Score175
Rank #204 of 378 in Coding
Top 54% · Methodology v3
Score Trend
62/100
14-day history
API Pricing
$5/M in
$15/M out
Context Window
128.0K
4.1K max output
128.0K token context
Released 2024-04-09
#204range #185-#223Top 54%
#1#378

Signal Overview

Benchmarks66Capabilities83Pricing85Recency0Context81Output60

Score Breakdown

SignalStrengthWeightImpact
Benchmarksjust now
66
30%+19.7
Capabilitiesjust now
83
20%+16.7
Pricingjust now
85
15%+12.8
Context Windowjust now
81
10%+8.1
Output Capacityjust now
60
10%+6.0
Recencyjust now
0
15%+0.0

Benchmark Performance

Benchmark Scores(10 benchmarks + Arena Elo)

LMSYS Arena Elo

1255

Vision Elo

1112

Percentile

59.2

Weight

30%

View all benchmarks

Capabilities

Reasoning
Vision
Function Calling
JSON Mode
Streaming
Web Search
Image Output

Modalities

Input
text
image
Output
text

Recent OpenAI releases

View this model against the provider’s recent shipping cadence.

Reviews

Community and practitioner feedback adds real-world signal on top of benchmarks and pricing.

Reviews

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Frequently Asked Questions

GPT-4 Turbo (batch) by OpenAI excels in the Coding category, where it ranks #204 with a composite score of 62/100. 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. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.
GPT-4 Turbo (batch) is priced at $5.00 per million input tokens and $15.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.
In the Coding category, GPT-4 Turbo (batch) holds rank #204 out of 378 models tracked. Its quality rank is #204 and adoption rank is #204. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.
GPT-4 Turbo (batch) has been evaluated across 6 different signals. Its strongest areas include Capabilities (83/100), Benchmarks (66/100), Pricing (85/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 62/100 reflects a weighted combination of all tracked signals.
GPT-4 Turbo (batch) is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check OpenAI's website for current free tier availability and promotional offers.
GPT-4 Turbo (batch) supports a 128K token context window (128,000 tokens total). That translates to roughly 96,000 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.
GPT-4 Turbo (batch) can generate up to 4K output tokens (4,096 tokens) per response. That is roughly 3,072 words. Sufficient for typical conversations, code snippets, and summaries.
GPT-4 Turbo (batch) supports image understanding (vision), function/tool calling, structured JSON output, web search, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. Vision support means it can analyze images, screenshots, and diagrams alongside text. These capabilities determine which workflows and integrations the model can handle natively.
GPT-4 Turbo (batch) was developed by OpenAI. It was released on April 9, 2024. You can access it through OpenAI's API. Check our provider page for all models from OpenAI and how they compare against each other.
Pick GPT-4 Turbo (batch) when you need a solid balance of cost and capability for everyday development tasks, content generation, and standard API integrations. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.
You can access GPT-4 Turbo (batch) through OpenAI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.

Key Info

ProviderOpenAI
CategoryCoding
Max Output4.1K tokens
LicenseProprietary
Statusstable
Data updated: Aug 8, 2026Benchmarks: Aug 8, 2026Status: Jul 9, 2026

Pricing Tools

Pricingper 1M tokens
62% more expensive than category average
Input
$5.00
+98% vs avg
Output
$15.00
+25% vs avg

Cost Estimator

Input: 70%Output: 30%
Est. monthly cost$80.00
Category average$53.52

$26.48/month more than category average

Access & Availability

Hosted APIAvailable
PlaygroundAvailable
Open weightsNo
Hugging FaceNot listed

Why This Rank

+Benchmarks
+Capabilities
+Pricing
+Context Window

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