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Comparison · 2 models · Updated Oct 4, 2026

Gemini 3.5 Flash Lite vs GPT-5.4 nano

Too close to call on our weighted score (Gemini 3.5 Flash Lite 70, GPT-5.4 nano 68). The right pick depends on what you value most.

  1. Google

    Gemini 3.5 Flash Lite

    Released Jul 21, 2026

    70/100
    • ECI145.1
    • Price$0.30 / $2.50
    • Context1.05M
    Full specs Remove Gemini 3.5 Flash Lite

  2. OpenAI

    GPT-5.4 nano

    Released Mar 17, 2026

    68/100
    • ECI145.8
    • Price$0.20 / $1.25
    • Context400K
    Full specs Remove GPT-5.4 nano

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 3 points (Gemini 3.5 Flash Lite 70/100, GPT-5.4 nano 68/100), so choose by what matters most for your work: GPT-5.4 nano for raw capability and Gemini 3.5 Flash Lite for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.4 nanoCapabilities Index (ECI): GPT-5.4 nano 145.8 · Gemini 3.5 Flash Lite 145.1
  • Lowest priceGPT-5.4 nanoGPT-5.4 nano $0.463 · Gemini 3.5 Flash Lite $0.85 per 1M tokens (3:1 blend)
  • Longest contextGemini 3.5 Flash LiteGemini 3.5 Flash Lite 1,048,576 · GPT-5.4 nano 400,000 tokens
  • Widest inputsGemini 3.5 Flash LiteGemini 3.5 Flash Lite: Text, Images, PDFs, Audio, Video · GPT-5.4 nano: Text, Images
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGemini 3.5 Flash LiteGPT-5.4 nano
CapabilityCapabilities Index (ECI)50%7273
Price25%5366
Inputs & features15%10070
Context window10%6144
Overall100%70/10068/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Gemini 3.5 Flash Lite vs GPT-5.4 nano specifications side by side
SpecificationGemini 3.5 Flash LiteGoogleGPT-5.4 nanoOpenAI
Capability
Capabilities Index (ECI)145.1145.8 (best)
ECI rank#79 of 148#75 of 148 (best)
GPQA DiamondGraduate-level science questions83.3% (best)78.5%
FrontierMath Tiers 1–3Research-level mathematics26.0%44.9% (best)
OTIS Mock AIME 2024–2025Competition mathematics71.1%87.8% (best)
SimpleQA VerifiedShort factual questions—11.7%
Price per million tokens
Input$0.30$0.20 (best)
Output$2.50$1.25 (best)
Cached input$0.03$0.02 (best)
Blended (3:1)$0.85$0.463 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Google APIOfficial OpenAI API
Limits
Context window1,048,576 tokens (best)400,000 tokens
Max output65,536 tokens128,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesNo
AudioYesNo
VideoYesNo
ReasoningYesminimal · low · medium · highYeslow · medium · high · xhigh
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDgemini-3.5-flash-litegpt-5.4-nano
API providers2626
ReleasedJul 21, 2026Mar 17, 2026
Knowledge cutoffMar 2026Aug 31, 2025
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Gemini 3.5 Flash Lite$8.00
  • GPT-5.4 nano$4.50
04 — Questions

Which should you choose?

Which is better: Gemini 3.5 Flash Lite or GPT-5.4 nano?

It is close. Our weighted score puts them within 3 points (Gemini 3.5 Flash Lite 70/100, GPT-5.4 nano 68/100), so choose by what matters most for your work: GPT-5.4 nano for raw capability and Gemini 3.5 Flash Lite for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemini 3.5 Flash Lite or GPT-5.4 nano?

GPT-5.4 nano is cheaper at $0.20 input / $1.25 output per million tokens (official OpenAI API price). Gemini 3.5 Flash Lite costs $0.30 input / $2.50 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.463 per million tokens for GPT-5.4 nano versus $0.85 for Gemini 3.5 Flash Lite (1.8× as much).

Which scores higher on benchmarks?

GPT-5.4 nano scores higher on the Capabilities Index (ECI): GPT-5.4 nano 145.8 (#75 of 148) and Gemini 3.5 Flash Lite 145.1 (#79 of 148). The confidence ranges of the top two overlap (143.2–147.7 vs 142.5–146.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 3.5 Flash Lite 83.3%, GPT-5.4 nano 78.5%; FrontierMath Tiers 1–3 — GPT-5.4 nano 44.9%, Gemini 3.5 Flash Lite 26.0%; OTIS Mock AIME 2024–2025 — GPT-5.4 nano 87.8%, Gemini 3.5 Flash Lite 71.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 3.5 Flash Lite and GPT-5.4 nano yet, so there is no like-for-like coding score. On overall capability, GPT-5.4 nano leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Gemini 3.5 Flash Lite has the largest context window at 1,048,576 tokens, against 400,000 for GPT-5.4 nano. Maximum output per response: Gemini 3.5 Flash Lite up to 65,536, GPT-5.4 nano up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Gemini 3.5 Flash Lite accepts text, images, PDFs, audio and video; GPT-5.4 nano accepts text and images. Gemini 3.5 Flash Lite handles the widest range of inputs.

Are any of these open source?

No. Gemini 3.5 Flash Lite and GPT-5.4 nano are proprietary and only available through APIs and apps.

Which is newer?

Gemini 3.5 Flash Lite is the newest, released Jul 21, 2026. GPT-5.4 nano came out Mar 17, 2026. Knowledge cutoff: Gemini 3.5 Flash Lite Mar 2026, GPT-5.4 nano Aug 31, 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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