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Model Comparison

Gemini 3.1 Flash Lite Preview vs Grok Imagine Image 2.0Which Is Better in 2026?

Google: Gemini 3.1 Flash Lite Preview logoGoogle•xAI: Grok Imagine Image 2.0 logoxAI

Gemini 3.1 Flash Lite Preview vs Grok Imagine Image 2.0: which should you choose in 2026?

Gemini 3.1 Flash Lite Preview (by Google) and Grok Imagine Image 2.0 (by xAI) are compared below. Here is how they stack up on benchmarks, price, and capabilities, and which one to pick in 2026.

There are not enough shared, protocol-compatible benchmark results to declare a performance leader.

Choose Gemini 3.1 Flash Lite Preview if…

  • • you need a model with explicit reasoning support

Choose Grok Imagine Image 2.0 if…

  • • you need image generation

The benchmark count includes only results measured with a matching benchmark version and protocol. Arena scores are shown separately. Missing, preliminary, and incompatible data is not treated as a controlled win. Published point-score comparisons are labeled separately when protocol details are incomplete. For text-output models, the verdict also compares token pricing and context windows.

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Performance benchmarks

Every value links to its source. A dash means that no reviewed result is available for that exact model and protocol.

Gemini 3.1 Flash Lite Preview and Grok Imagine Image 2.0 benchmark results
BenchmarkGemini 3.1 Flash Lite PreviewGrok Imagine Image 2.0
AutomationBench-AA

A 657-task benchmark of multi-step work across simulated SaaS applications in six business domains. The Artificial Analysis protocol reports a guardrail-aware score and is distinct from both the public Zapier split and the unrelated dynamic AutoBench framework.

Guardrail-aware score

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BrowseComp

A benchmark of difficult, verifiable information-seeking questions designed to measure an agent's ability to locate hard-to-find facts through web browsing.

Accuracy

——
OSWorld-Verified

A verified computer-use benchmark in which multimodal agents operate desktop applications and are graded from the resulting environment state.

Mean task reward

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SWE-Bench Verified

A human-validated subset of real GitHub issues used to measure whether a coding agent can produce repository patches that resolve the associated tests.

Resolved

——
Terminal-Bench 2.1

Version 2.1 of the benchmark for completing realistic tasks in terminal environments. Harness, resource limits, and attempt count are part of the protocol.

Mean task success

——
AutoBench

A dynamic LLM evaluation framework in which models generate questions, answer them, and participate in reciprocal peer assessment. AutoBench is distinct from Zapier's AutomationBench.

Weighted peer-assessment score

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GPQA Diamond

The highest-quality subset of Graduate-Level Google-Proof Q&A, designed to test expert-level scientific reasoning in biology, physics, and chemistry.

Accuracy

——
Humanity's Last Exam

A 2,500-question expert-level benchmark spanning dozens of academic fields. Tool-assisted and no-tools results are separate protocols and must not be merged.

Accuracy

——
Arena preference scores
Arena (Text)

Human preference score

1432 ±4
—
Arena (Code/WebDev)

Human preference score for code and web development

1254 ±7
—

Benchmark sources

Reviewed evidence last updated 2026-08-09. Arena data last refreshed Aug 12, 2026.

Pricing, capabilities, and model facts

Gemini 3.1 Flash Lite Preview and Grok Imagine Image 2.0 model facts
FeatureGemini 3.1 Flash Lite PreviewGrok Imagine Image 2.0
Context & model facts
DeveloperGooglexAI
API providerGooglexAI
Input context1,048,576 tokens65,536 tokens
Maximum output65,536 tokens—
Released——
Added to WritingmateMar 3, 2026Aug 11, 2026
LicenseNot availableNot available
Knowledge cutoff——
Capabilities
InputsText, Image, Video, File, AudioText, Image
OutputsTextImage
Provider endpoint accepts tool parametersYesNo
ReasoningYesNo
VisionYesYes
Image GenerationNoYes
Video GenerationNoNo
API performance
p95 latencyNot measuredNot measured
Output throughputNot measuredNot measured
Writingmate shows API performance only when both models have enough observations from the same measurement window, prompt profile, and provider. Third-party latency values are not copied into this table.

Data sources

  • Writingmate model catalog (pricing, limits, and availability)

Catalog data last updated Aug 11, 2026.

Why Pay for Multiple Subscriptions?

Comparing Gemini 3.1 Flash Lite Preview from Google with Grok Imagine Image 2.0 from xAI? Instead of managing separate API keys and subscriptions, get both with Writingmate.

Subscription-plan access for Gemini 3.1 Flash Lite Preview and Grok Imagine Image 2.0
PlanPriceGemini 3.1 Flash Lite PreviewGrok Imagine Image 2.0AI ImagesAI Video
Writingmate Pro
Most popular
$20/moIncludedIncludedNano Banana Pro, FLUX.2, DALL-E & moreSora 2, VEO 3.1
Writingmate Ultimate
Power users
$60/moIncludedIncludedNano Banana Pro, FLUX.2, DALL-E & moreSora 2, VEO 3.1
View Plans & Pricing

Gemini 3.1 Flash Lite Preview vs Grok Imagine Image 2.0 FAQ

Which is better, Gemini 3.1 Flash Lite Preview or Grok Imagine Image 2.0?

There are not enough shared, protocol-compatible benchmark results to declare a performance leader.

Which model is cheaper to use through an API?

A comparable blended token price is not available for both models. Check the API pricing rows for the values that are currently published.

Which model supports more context?

Comparable context-window data is not available for both models.

Can I switch between Gemini 3.1 Flash Lite Preview and Grok Imagine Image 2.0?

Yes. Use the model selector on this page to open any current Writingmate model comparison. You can also run the same prompt with both models in Writingmate.