LLM Gateway
CoverageBenchmark
Gemini 3.1 Pro promises a Google LLM capable of handling more complex forms of work.
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Model details
Gemini Pro Latest
Gemini Pro Latest sits inside the Gemini family as Google's top-of-line professional model, with February 2026 reporting describing it as handling more complex forms of work than its predecessors and being positioned for advanced reasoning and knowledge tasks. Third-party coverage from TechCrunch and CryptoRank-bundled BitcoinWorld reporting referred to the release as Gemini 3.1 Pro and noted that the new Gemini Pro generation posted record benchmark scores, framing it as a flagship option for demanding analytical use. The DevPass gateway exposes it under the gemini-pro-latest alias so teams can route to the newest Google Gemini Pro checkpoint without rewriting integrations, while the same identifier also appears on Maxim's Bifrost gateway model library for cross-vendor comparison of pricing, limits, and capabilities.
In practical terms, the model is aimed at workloads where frontier reasoning and large context handling matter most, including long-document analysis, multi-step research, code generation, and structured professional outputs. The reported record benchmark performance suggests strong gains in professional evaluation suites, which makes it a natural fit for organizations that need a general-purpose flagship rather than a narrow specialist. Because DevPass surfaces it as the always-current gemini-pro-latest pointer, teams can adopt it once and automatically inherit future Gemini Pro upgrades as Google releases them, simplifying model governance while still routing requests through a single managed endpoint.
DevPass (LLM Gateway)gemini-pro-latestgemini
Quick Info
Powered by- Provider
- DevPass (LLM Gateway)
- Model key
- gemini-pro-latest
- Release date
- Feb 27, 2026
- Last updated
- Feb 27, 2026
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $2.00
- Output token cost
- $12.00
Limits
- Output tokens
- 65,536 tokens
- Context window
- 1,048,576 tokens
Latest news about Gemini Pro Latest
LLM Gateway
CoverageBenchmark
BitcoinWorld Gemini Pro 3.1 Shatters Records: Google’s Latest AI Model Dominates Professional Benchmark Tests In a stunning development that reshapes the
DevPass (LLM Gateway)
CoverageBenchmark
An OpenOCR rankings page reports a third-party OCR benchmark for Gemini Pro Latest, with an average score of 93.7% across 11 documents and an average latency of 19.7 seconds, measured on 2026-08-07 and published 2026-08-22. The page identifies the provider offering used as google-gemini-pro-latest(google), confirming t Per-document results include 100.0% on grocery and café receipts, 100.0% on a handwritten cursive letter, and 100.0% on handwritten notes, demonstrating strong performance on both dense numeric retail-style documents and cursive handwriting. The benchmark is narrow — OCR-specific — and tests Google's direct offering ra
DevPass (LLM Gateway)
CoveragePreview
The NanoGPT model page for the sibling Gemini 3.1 Pro Preview Low variant includes an explicit reference to the subject: "Gemini Pro Latest — google/gemini-pro-latest — Compatibility alias that routes to the newest version of Gemini Pro. Currently routes to Gemini 3.1 Pro Preview High." The page was last updated Septem Benchmarks listed on the page include GPQA Diamond at 94.1%, HLE at 47.0%, IFBench at 77.1%, T²-Bench at 95.6%, AA-LCR at 82.0%, SciCode at 58.7%, and Terminal-Bench at 53.8%, sourced from Artificial Analysis. Gateway-level pricing ($2.00 input / $12.00 output per 1M tokens) is shown but should be treated as third-part
OpenRouter
CoverageBenchmark
An independent OCR benchmark page from OpenOCR publishes reproducible performance data for Google Gemini Pro Latest served via OpenRouter. The page explicitly identifies the provider offering as "openrouter--google-gemini-pro-latest (openrouter)," matching the subject's exact model slug. Measured on the corpus ocr-shar Per-document results show strong character-level recognition on structured and unstructured inputs: grocery receipt and café receipt both scored 100.0%, handwritten letter and handwritten notes both scored 100.0%, demonstrating reliable performance on retail-style dense numeric rows and cursive handwriting transcriptio