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Comparison · 2 models · Updated Oct 4, 2026

GPT-5.4 nano vs Gemma 3 27B IT

GPT-5.4 nano comes out ahead, 68 to 60 on our weighted score, though Gemma 3 27B IT is 4.2× cheaper per token.

  1. Our pick

    OpenAI

    GPT-5.4 nano

    Released Mar 17, 2026

    68/100
    • ECI145.8
    • Price$0.20 / $1.25
    • Context400K
  2. Google

    Gemma 3 27B IT

    Released Mar 12, 2025

    60/100
    • ECI130.0
    • Price$0.08 / $0.20
    • Context131K
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01 — Verdict

GPT-5.4 nano is our pick

GPT-5.4 nano is the better all-round choice, scoring 68/100 against Gemma 3 27B IT (60). It leads on capability, inputs & features and context window. Gemma 3 27B IT wins on price. 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 · Gemma 3 27B IT 130.0
  • Lowest priceGemma 3 27B ITGemma 3 27B IT $0.11 · GPT-5.4 nano $0.463 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 nanoGPT-5.4 nano 400,000 · Gemma 3 27B IT 131,072 tokens
  • Widest inputsSame inputsGPT-5.4 nano: Text, Images · Gemma 3 27B IT: Text, Images
  • Self-hostingGemma 3 27B ITPublishes downloadable weights
How the score is built
MeasureWeightGPT-5.4 nanoGemma 3 27B IT
CapabilityCapabilities Index (ECI)50%7353
Price25%6695
Inputs & features15%7050
Context window10%4424
Overall100%68/10060/100
02 — Side by side

Every spec in one table

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

GPT-5.4 nano vs Gemma 3 27B IT specifications side by side
SpecificationGPT-5.4 nanoOpenAIGemma 3 27B ITGoogle
Capability
Capabilities Index (ECI)145.8 (best)130.0
ECI rank#75 of 148 (best)#125 of 148
GPQA DiamondGraduate-level science questions78.5% (best)47.7%
FrontierMath Tiers 1–3Research-level mathematics44.9%—
OTIS Mock AIME 2024–2025Competition mathematics87.8% (best)22.5%
SimpleQA VerifiedShort factual questions11.7%—
Price per million tokens
Input$0.20$0.08 (best)
Output$1.25$0.20 (best)
Cached input$0.02—
Blended (3:1)$0.463$0.11 (best)
Long-context rateSame rateSame rate
Price sourceOfficial OpenAI APIMedian of 9 providers
Limits
Context window400,000 tokens (best)131,072 tokens
Max output128,000 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYeslow · medium · high · xhighNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpen
API model IDgpt-5.4-nano—
API providers26 (best)10
ReleasedMar 17, 2026Mar 12, 2025
Knowledge cutoffAug 31, 2025Aug 2024
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.

  • GPT-5.4 nano$4.50
  • Gemma 3 27B IT$1.20
04 — Questions

Which should you choose?

Which is better: GPT-5.4 nano or Gemma 3 27B IT?

GPT-5.4 nano is the better all-round choice, scoring 68/100 against Gemma 3 27B IT (60). It leads on capability, inputs & features and context window. Gemma 3 27B IT wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.4 nano or Gemma 3 27B IT?

Gemma 3 27B IT is cheaper at $0.08 input / $0.20 output per million tokens (median across 9 API providers). GPT-5.4 nano costs $0.20 input / $1.25 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.11 per million tokens for Gemma 3 27B IT versus $0.463 for GPT-5.4 nano (4.2× 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 Gemma 3 27B IT 130.0 (#125 of 148). Their confidence ranges do not overlap (143.2–147.7 vs 124.1–132.2), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-5.4 nano 78.5%, Gemma 3 27B IT 47.7%; OTIS Mock AIME 2024–2025 — GPT-5.4 nano 87.8%, Gemma 3 27B IT 22.5%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.4 nano and Gemma 3 27B IT 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?

GPT-5.4 nano has the largest context window at 400,000 tokens, against 131,072 for Gemma 3 27B IT. Maximum output per response: GPT-5.4 nano up to 128,000, Gemma 3 27B IT up to 131,072 tokens.

Which can read images, PDFs, audio or video?

GPT-5.4 nano accepts text and images; Gemma 3 27B IT accepts text and images. They handle the same number of input types.

Are any of these open source?

Gemma 3 27B IT publishes its weights and can be self-hosted; GPT-5.4 nano is proprietary.

Which is newer?

GPT-5.4 nano is the newest, released Mar 17, 2026. Gemma 3 27B IT came out Mar 12, 2025. Knowledge cutoff: GPT-5.4 nano Aug 31, 2025, Gemma 3 27B IT Aug 2024.

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.