London, UK & Mountain View, CA · Founded 2023 (DeepMind + Google Brain merger)
Google DeepMind
The longest context window in AI, built into everything Google.
Google DeepMind builds the Gemini family. Gemini 3.7 Flash (August 2026) posts 80.8% on SWE-bench Verified at $0.75/1M — the best coding score per dollar of 2026. Gemini 3.1 Pro still leads on long-context work with a 2M token window.
Rankings refresh dailyScored on 6 criteriaNo paid rankings
Gemini 3.7 Flash: 80.8% SWE-bench Verified at $0.75/1M — best coding value of 2026
Gemini 3.1 Pro has a 2M token context window — largest in the industry
Integrated into Google Workspace, Search, and Android
21 models
All Google DeepMind Models
Every Google DeepMind model in the directory, ranked by overall capability score.
GoogleBalanced
Gemini 3.6 Flash
Google's efficiency-focused successor to 3.5 Flash — higher scores on every benchmark Google tested, ~17% fewer output tokens, and cheaper output pricing.
Verdict
Best Gemini for agents — efficiency king with native computer use.
Quality score
90%
Pricing
$0.75/1M in
$3.75/1M out
Speed
Fast
4/5 speed
Context
1.0M tokens
Released July 21, 2026 alongside 3.5 Flash-Lite and the gated 3.5 Flash Cyber. Knowledge cutoff March 2026. Batch $0.75/$3.75; cached input $0.15/1M.
AgenticComputer useEfficientMultimodal1M context
Best for
Cost-efficient long-horizon agents and computer use
Google's fastest-moving coding workhorse — 80.8% on SWE-bench Verified at half the price of Gemini 3.6 Flash, shipped just three weeks after it.
Verdict
80.8% SWE-bench Verified at introductory Flash pricing.
Quality score
86%
Pricing
$0.75/1M in
$3.75/1M out
Speed
Fast
4/5 speed
Context
1.0M tokens
Released August 13, 2026, only three weeks after Gemini 3.6 Flash. Introductory pricing of $0.75/$3.75 runs through December 31, 2026; on January 1, 2027 it doubles to $1.50/$7.50, which is exactly Gemini 3.6 Flash's rate.
Coding1M contextFastIntro pricing
Best for
High-volume coding and long-context work at introductory Flash pricing
Google's I/O 2026 headliner — a Flash-tier model that beats Gemini 3.1 Pro on agentic and coding benchmarks while running roughly 4x faster than comparable frontier models.
Verdict
Excellent fast agentic model, superseded by Gemini 3.6 Flash.
Quality score
89%
Pricing
$1.50/1M in
$9.00/1M out
Speed
Fast
4/5 speed
Context
1.0M tokens
Released at Google I/O, May 19, 2026. Batch API half price; context caching $0.15/1M. 65,536-token output limit.
Google's flagship with the largest context window of any frontier model at 2M tokens, Deep Think reasoning, and the best price-to-performance among premium models.
Verdict
Best for research and deep document analysis — 2M context at the best premium price.
Quality score
89%
Pricing
$2.00/1M in
$12.00/1M out
Speed
Balanced
3/5 speed
Context
2M tokens
The 2M context window is a genuine competitive advantage — no other frontier model gets close for document-heavy workflows.
Research leader2M contextBest value premiumDeep Think
Best for
Research, deep document analysis, and long-context reasoning at competitive pricing
Gemini 2.5 Pro is Google's flagship reasoning-capable model with a massive 1M token context window, designed for complex analysis, coding, and multimodal tasks. It balances frontier-level intelligence with competitive mid-tier pricing.
Verdict
The best Google model for serious, complex work — especially when you need to fit an entire codebase or document corpus into a single prompt.
Quality score
87%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Balanced
3/5 speed
Context
1.0M tokens
Pricing shown is for prompts under 200K tokens; inputs over 200K tokens are billed at $2.50/1M input and $15/1M output. Gemini 2.5 Pro includes built-in 'thinking' (reasoning) mode which can increase latency and cost further.
FlagshipLong ContextMultimodalReasoningGoogle
Best for
Deep reasoning over very long documents, complex codebases, or multimodal inputs where context size is a constraint with other models.
Gemini 2.0 Flash is Google's high-speed, cost-efficient multimodal model built for high-volume production workloads, offering a massive 1M token context window at near-throwaway pricing. It supports text, image, audio, and video inputs with strong instruction-following and tool-use capabilities.
Verdict
The best bang-for-buck multimodal workhorse for developers who need speed, scale, and a massive context window.
Quality score
76%
Pricing
$0.10/1M in
$0.40/1M out
Speed
Very fast
5/5 speed
Context
1.0M tokens
Pricing listed is for standard (non-cached) input/output. Context caching is available and can reduce costs significantly for repeated long-context calls. Image and audio inputs are priced separately. Free tier available via Google AI Studio.
BudgetFastLong ContextMultimodalGoogle
Best for
High-throughput pipelines and agentic tasks where speed and cost matter more than peak reasoning quality.
Gemini 2.5 Pro Preview 05-06 is Google's latest frontier reasoning model featuring a massive 1M token context window and strong multimodal capabilities. It targets developers and researchers needing deep analytical power with competitive pricing relative to its capability tier.
Verdict
The go-to model when you need a frontier brain and a million-token memory, at a price that won't immediately break your budget.
Quality score
86%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Deliberate
2/5 speed
Context
1.0M tokens
This is a preview model (05-06 date suffix indicates a versioned snapshot); Google may deprecate or change it without long notice. Confirm production readiness before building critical pipelines on this endpoint. The 1M context window applies to text and multimodal inputs combined.
Long ContextReasoningMultimodalFrontierPreview
Best for
Complex multi-document analysis, long-context reasoning, and advanced coding tasks where a massive context window is essential.
Gemini 2.5 Flash is Google's fast, cost-efficient multimodal model built for high-throughput tasks requiring a million-token context window at budget pricing. It balances speed and capability across text, code, and vision tasks without the cost of flagship models like Gemini 2.5 Pro.
Verdict
The go-to budget model for long-context and multimodal workloads where speed and scale matter.
Quality score
76%
Pricing
$0.30/1M in
$2.50/1M out
Speed
Very fast
5/5 speed
Context
1.0M tokens
Output cost ($2.5/1M) is disproportionately higher than input cost ($0.3/1M), so generation-heavy use cases may see costs add up faster than expected. Thinking/reasoning mode may be available but incurs additional cost.
BudgetFastLong ContextMultimodalGoogle
Best for
High-volume document processing, summarization, and coding assistance where cost and speed matter more than peak accuracy.
Gemini 3 Flash Preview is Google's budget-tier multimodal model optimized for high-throughput, low-latency tasks at scale. It offers a massive 1M token context window at aggressive pricing, making it a strong contender for cost-sensitive production workloads.
Verdict
A fast, affordable workhorse for long-context and high-volume tasks — just don't build critical systems on a Preview model.
Quality score
74%
Pricing
$0.25/1M in
$1.50/1M out
Speed
Very fast
5/5 speed
Context
1.0M tokens
This is a preview model and may have limited availability, unstable rate limits, and pricing that changes before general availability. Output cost at $3/1M is notably higher than input cost, so applications generating long outputs should budget accordingly.
BudgetLong ContextFastMultimodalPreview
Best for
High-volume document processing, summarization pipelines, and long-context tasks where cost efficiency matters more than frontier-level reasoning.
Gemini 2.5 Pro Preview 06-05 is Google's most capable reasoning-focused model, featuring a massive 1M token context window and strong performance across code, math, and complex analysis tasks. It represents Google's top-tier offering in the Gemini 2.5 generation, optimized for depth over speed.
Verdict
Google's most capable model — a top-tier reasoning and coding powerhouse with an unmatched context window, held back only by its preview status and output cost.
Quality score
83%
Pricing
$1.25/1M in
$10.00/1M out
Speed
Deliberate
2/5 speed
Context
1.0M tokens
This is a preview model (06-05 date suffix indicates a versioned snapshot); Google may deprecate or modify it before a stable GA release. Pricing tiers differ based on prompt length — prompts over 200K tokens are charged at $2.50/1M input and $15/1M output, significantly increasing cost for very long-context use cases.
FlagshipLong ContextReasoningCodingPreview
Best for
Complex multi-step reasoning, large codebase analysis, and tasks requiring deep synthesis across very long documents.
Gemma 4 31B is Google's open-weight instruction-tuned model offering a strong balance of capability and cost efficiency at just $0.14/$0.40 per million tokens. It features a 262K context window and is designed for developers who need capable on-premise or API-hosted inference without flagship pricing.
Verdict
A well-priced, long-context open-weight model that's ideal for high-volume developer workloads but won't match frontier models on complex reasoning.
Quality score
66%
Pricing
$0.39/1M in
$0.97/1M out
Speed
Fast
4/5 speed
Context
262k tokens
As an open-weight model, Gemma 4 31B can be self-hosted via Ollama or Hugging Face in addition to Google's API. Pricing shown is for hosted inference. No image input capability confirmed at launch.
Open WeightBudgetLong ContextCodingSelf-Hostable
Best for
Cost-conscious developers needing a capable open-weight model for coding assistance, summarization, and document analysis at scale.
Gemini 3 Pro Image Preview is Google's image-focused multimodal model designed for advanced visual understanding and generation tasks. It sits in the balanced price tier, targeting professional workflows that require strong image comprehension alongside text reasoning.
Verdict
A capable image-first multimodal model held back by a small context window and preview-stage instability.
Quality score
64%
Pricing
$2.00/1M in
$12.00/1M out
Speed
Balanced
3/5 speed
Context
66k tokens
This is a preview model — API behavior, pricing, and availability may change before general release. The 65K context window is unusually constrained for a Gemini Pro-tier model; double-check if your use case requires longer contexts before committing.
VisionMultimodalGooglePreviewImage Analysis
Best for
Teams needing robust image analysis, visual question answering, and multimodal workflows at a mid-range price point.
Gemini 2.5 Flash Lite Preview 09-2025 is Google's most cost-optimized variant of the Gemini 2.5 Flash family, designed for high-throughput, latency-sensitive applications at near-commodity pricing. It offers a massive 1M token context window at just $0.10/1M input tokens, positioning it as one of the cheapest long-context models available.
Verdict
The go-to model for cost-sensitive, high-volume pipelines that need a massive context window without breaking the budget.
Quality score
62%
Pricing
$0.10/1M in
$0.40/1M out
Speed
Very fast
5/5 speed
Context
1.0M tokens
This is a preview model (09-2025 versioned) and may be subject to breaking changes or deprecation. Pricing is approximate based on listed rates. Not recommended for production systems requiring SLA guarantees. Check Google AI Studio or Vertex AI for GA alternatives.
budgetlong-contextfasthigh-throughputpreview
Best for
High-volume document processing, classification pipelines, and lightweight coding tasks where cost per token matters more than peak quality.
Gemini 2.5 Flash Lite is Google's lightest and most cost-efficient model in the 2.5 family, designed for high-throughput tasks where speed and price matter more than peak intelligence. It retains the massive 1M token context window from its larger siblings while cutting costs to a fraction of Gemini 2.5 Pro.
Verdict
The best cheap model for long-document pipelines, but don't expect flagship-level reasoning.
Quality score
57%
Pricing
$0.10/1M in
$0.40/1M out
Speed
Very fast
5/5 speed
Context
1.0M tokens
Pricing is approximate based on listed rates. As a 'Lite' model, it may not support all multimodal features available in full Flash or Pro variants. Check Google AI Studio for feature availability and rate limits.
BudgetFastLong ContextHigh VolumeGoogle
Best for
High-volume, latency-sensitive applications like document triage, chatbot pipelines, and content classification at scale.
Gemini 2.0 Flash Lite is Google's ultra-budget, high-speed model designed for high-volume, cost-sensitive applications. It sits below Gemini 2.0 Flash in capability but offers the lowest price point in the Gemini 2.0 family with a massive 1M token context window.
Verdict
The go-to model when cost and throughput are everything and task complexity is low.
Quality score
57%
Pricing
$0.07/1M in
$0.30/1M out
Speed
Very fast
5/5 speed
Context
1.0M tokens
Pricing is among the lowest available in any major provider's lineup as of mid-2025. Context window of 1M tokens is a significant differentiator at this price tier. Check Google AI Studio and Vertex AI for rate limits on high-volume usage.
Gemma 4 26B A4B is a sparse mixture-of-experts open model from Google, activating only ~4B parameters per forward pass despite having 26B total parameters. It offers a 262K context window at budget pricing, making it one of the more capable open-weight models for its cost tier.
Verdict
A lean, fast, and surprisingly capable budget model best suited for high-volume text tasks where cost efficiency trumps peak quality.
Quality score
59%
Pricing
$0.13/1M in
$0.40/1M out
Speed
Fast
4/5 speed
Context
262k tokens
As an open-weight model, Gemma 4 26B can also be self-hosted, making API pricing largely irrelevant at scale. The 'A4B' suffix denotes the active parameter count in its MoE configuration. Listed as superseding Gemini 3 Flash Preview, though Gemini 2.0 Flash remains a stronger hosted alternative.
Open-weightBudgetMoELong ContextGoogle
Best for
Cost-sensitive applications needing long-context processing with reasonable quality, such as document summarization pipelines or lightweight coding assistants.
A budget-tier image-capable variant of Gemini 2.5 Flash, optimized for cost-effective multimodal tasks involving image understanding. Despite the whimsical internal name, it delivers Gemini 2.5 Flash's vision capabilities at a low price point.
Verdict
A scrappy budget image model that's fast and cheap on ingestion but constrained by a tiny context window.
Quality score
42%
Pricing
$0.30/1M in
$2.50/1M out
Speed
Very fast
5/5 speed
Context
33k tokens
The 32,768 token context window is unusually small even for a budget model — verify this limit hasn't changed before deploying in production. The 'Nano Banana' name appears to be an internal or experimental identifier; confirm model availability and stability via Google AI Studio or Vertex AI before relying on it in critical workflows.
budgetimage-analysismultimodalflashgoogle
Best for
Budget-conscious teams needing fast image analysis and visual question answering without flagship pricing.
Gemma 2 27B is Google's largest open-weight model in the Gemma 2 family, designed for high-quality text generation, reasoning, and instruction-following at a mid-range price point. It punches above its weight class for an open model, rivaling some proprietary mid-tier offerings.
Verdict
A strong open-weight performer for short-context coding and reasoning, hobbled by an outdated 8K context limit.
Quality score
55%
Pricing
$0.65/1M in
$0.65/1M out
Speed
Fast
4/5 speed
Context
8k tokens
Symmetric input/output pricing at $0.65/1M tokens is straightforward but positions it oddly — it's pricier than GPT-4o Mini while lacking its multimodal features. Available via multiple inference providers including Google Vertex AI and third-party APIs.
Open WeightMid-RangeText OnlyCodingInstruction Following
Best for
Teams that need strong open-weight model performance for coding and reasoning tasks without paying flagship prices.
Gemma 2 9B is Google's open-weight 9-billion parameter model designed for efficient on-device and API deployment. It punches above its weight class for instruction-following and general language tasks at an exceptionally low cost.
Verdict
A capable open-weight budget model hamstrung by a frustratingly small context window.
Quality score
45%
Pricing
$0.03/1M in
$0.09/1M out
Speed
Very fast
5/5 speed
Context
8k tokens
Pricing reflects API access through third-party providers; Google also offers Gemma 2 9B weights for free download and self-hosting. The 8,192 token limit is a hard architectural constraint of this version.
Open WeightBudgetSmall ModelGoogleOn-Device
Best for
Lightweight text tasks, classification, and summarization where cost matters more than frontier-level quality.
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Google DeepMind FAQ
What is Google's best AI model in 2026?
For coding, Gemini 3.7 Flash (released August 13, 2026) — 80.8% SWE-bench Verified at $0.75/1M input, though that introductory price doubles in January 2027. For long-context research, Gemini 3.1 Pro still rules with its 2M token window. Gemini 3.5 Flash-Lite is the budget pick at $0.30/1M.
What is Gemini's context window?
Gemini 3.1 Pro has a 2M token context window — the largest of any frontier model. That's roughly 1.5 million words, or an entire large codebase in a single prompt. Gemini 3.1 Flash also supports 1M tokens.
How does Gemini compare to Claude and GPT?
Gemini 3.1 Pro leads on context window (2M vs 1M for Claude/GPT). Claude Opus 4.7 leads on coding (SWE-Bench Pro). GPT-5.4 leads on agentic/computer-use workflows. For large document analysis and long-context research, Gemini 3.1 Pro is the strongest choice.
Is Gemini free to use?
Yes — Gemini 3.1 Flash has a free tier in Google AI Studio. Gemini Advanced ($19.99/month) provides access to Gemini 3.1 Pro in Google's consumer apps. The API charges per token for production use.