Gemini

Gemini Review 2026: Pricing, Benchmarks & Alternatives

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Google DeepMind

Google's multimodal AI leading on reasoning and ARC-AGI-2 benchmarks

Category

chatbots

Starting At

Free

API

Available

Updated

2026-04-19

Research tasksMultimodal workflowsGoogle Workspace usersBenchmark-critical applications

Model Variants

37 variants · Select to compare specs

Capability Fingerprint

Gemini 3.1 Pro Preview

Speed

fast

Intelligence

high

Context

1M+

Pricing

$4.50 / 1M tokens

Gemini 3.1 Pro Preview by Google. Optimized for high intelligence.

Benchmarks

10 metrics
Swe Bench Verified
55.5%
Gpqa Diamond
94.1%
Hle
44.7%
Arc A G I2
95.6%
Human Eval
58.9%
Mmlu
57.2%
Code Arena
1448
Chat Arena
1487
Terminal Bench
53.8%
Speed
132%

Our Verdict

Gemini 3.1 Pro leads the 2026 Intelligence Index with 77.1% on ARC-AGI-2 and 94.3% on GPQA Diamond. Native multimodal with 1M token context and integration with Google Search and Workspace.

Who should use Gemini: This tool excels for Research tasks, Multimodal workflows, Google Workspace users. It's particularly strong for complex reasoning tasks. The #1 on ARC-AGI-2 (77.1%) pricing positions itas exceptional value for the capabilities offered.

Benchmark Analysis

Based on 10+ independent benchmarks, here's how Gemini performs:

SWE-Bench
55.5%
Real-world coding tasks
ARC-AGI-2
95.6%
Abstract reasoning
GPQA Diamond
94.1%
Expert-level QA

Note: Benchmarks are verified against official vendor claims and independent testing. Scores last updated 2026-04-19. See our methodology for details.

Company Overview

Google DeepMind was founded in 2023 and is based in Mountain View, CA.Gemini is built on a proprietary stack. Developers can integrate it via a well-documented API.

Should you use Gemini?

Use it if:
  • Research tasks
  • Multimodal workflows
  • Google Workspace users
Avoid if:
  • You rely heavily on third-party integrations
  • Some features US-only

Key Advantages

  • #1 on ARC-AGI-2 (77.1%)
  • Best GPQA Diamond score (94.3%)
  • Native multimodal from ground up
  • Real-time Google Search integration

Known Constraints

  • Workspace integration required for full features
  • Some features US-only
  • Less coding focus than Claude

Head-to-Head Comparisons

See how Gemini stacks up against its closest competitors with detailed benchmark analysis, pricing breakdowns, and expert verdicts.

Benchmark Comparison

Real performance data from independent testing

Metric
GeminiThis
Claude
ChatGPT
Qwen
SiteSiteSiteSite
SWE-Bench (Coding)
80.6%
87.6%
80.1%
75.2%
Terminal Success (Agents)
68.5%
69.4%
75.1%
84.5%
Unit Logic (HumanEval)
94.1%
94.5%
92.4%
94.2%
GPQA Diamond (Science)
94.3%
94.2%
94.4%
81.4%
MATH (Reasoning)
96.2%
95.8%
93.8%
96.8%
MMLU (Knowledge)
92.6%
91.5%
88.2%
88.5%
Code Arena (ELO)
1861
1650
1678
1256
Chat Arena (ELO)
1455
1583
1457
1082
Context
1M tokens
1M tokens
1M tokens
Price
FreemiumFreemiumFreemiumOpen Source
Best For
CodingReasoningAgenticValue
CodingReasoningAgentic
CodingReasoningAgentic
CodingReasoningAgenticValue
Gemini:#1 on ARC-AGI-2 (77.1%)
Claude:#1 on SWE-Bench Verified (87.6%)
ChatGPT:Best for agentic tasks (75.1% Terminal-Bench)
Qwen:Leading capabilities across fully open weights
Data from March 2026 independent benchmarksFull comparison

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