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Comparison · 2 models · Updated Oct 4, 2026

Gemma 4 31B IT vs GPT-5.4 nano

Too close to call on our weighted score (Gemma 4 31B IT 69, GPT-5.4 nano 68). The right pick depends on what you value most.

  1. Google

    Gemma 4 31B IT

    Released Apr 2, 2026

    69/100
    • ECI142.8
    • Price$0.14 / $0.40
    • Context262K
    Full specs Remove Gemma 4 31B IT

  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

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Gemma 4 31B IT 69/100, GPT-5.4 nano 68/100), so choose by what matters most for your work: GPT-5.4 nano for raw capability and Gemma 4 31B IT 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 4 31B IT 142.8
  • Lowest priceGemma 4 31B ITGemma 4 31B IT $0.205 · GPT-5.4 nano $0.463 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 nanoGPT-5.4 nano 400,000 · Gemma 4 31B IT 262,144 tokens
  • Widest inputsSame inputsGemma 4 31B IT: Text, Images · GPT-5.4 nano: Text, Images
  • Self-hostingGemma 4 31B ITPublishes downloadable weights
How the score is built
MeasureWeightGemma 4 31B ITGPT-5.4 nano
CapabilityCapabilities Index (ECI)50%6973
Price25%8366
Inputs & features15%7070
Context window10%3744
Overall100%69/10068/100
02 — Side by side

Every spec in one table

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

Gemma 4 31B IT vs GPT-5.4 nano specifications side by side
SpecificationGemma 4 31B ITGoogleGPT-5.4 nanoOpenAI
Capability
Capabilities Index (ECI)142.8145.8 (best)
ECI rank#86 of 148#75 of 148 (best)
GPQA DiamondGraduate-level science questions75.8%78.5% (best)
FrontierMath Tiers 1–3Research-level mathematics—44.9%
OTIS Mock AIME 2024–2025Competition mathematics73.3%87.8% (best)
SimpleQA VerifiedShort factual questions10.4%11.7% (best)
Price per million tokens
Input$0.14 (best)$0.20
Output$0.40 (best)$1.25
Cached input—$0.02
Blended (3:1)$0.205 (best)$0.463
Long-context rateSame rateSame rate
Price sourceMedian of 30 providersOfficial OpenAI API
Limits
Context window262,144 tokens400,000 tokens (best)
Max output32,768 tokens128,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYeslow · medium · high · xhigh
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenProprietary
API model IDgemma-4-31b-itgpt-5.4-nano
API providers38 (best)26
ReleasedApr 2, 2026Mar 17, 2026
Knowledge cutoff—Aug 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.

  • Gemma 4 31B IT$2.20
  • GPT-5.4 nano$4.50
04 — Questions

Which should you choose?

Which is better: Gemma 4 31B IT or GPT-5.4 nano?

It is close. Our weighted score puts them within 2 points (Gemma 4 31B IT 69/100, GPT-5.4 nano 68/100), so choose by what matters most for your work: GPT-5.4 nano for raw capability and Gemma 4 31B IT on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemma 4 31B IT or GPT-5.4 nano?

Gemma 4 31B IT is cheaper at $0.14 input / $0.40 output per million tokens (median across 30 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 $0.205 per million tokens for Gemma 4 31B IT versus $0.463 for GPT-5.4 nano (2.3× 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 4 31B IT 142.8 (#86 of 148). The confidence ranges of the top two overlap (143.2–147.7 vs 140.3–144.9), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.4 nano 78.5%, Gemma 4 31B IT 75.8%; OTIS Mock AIME 2024–2025 — GPT-5.4 nano 87.8%, Gemma 4 31B IT 73.3%; SimpleQA Verified — GPT-5.4 nano 11.7%, Gemma 4 31B IT 10.4%.

Which is better for coding?

There are no published SWE-bench Verified results for Gemma 4 31B IT 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?

GPT-5.4 nano has the largest context window at 400,000 tokens, against 262,144 for Gemma 4 31B IT. Maximum output per response: Gemma 4 31B IT up to 32,768, GPT-5.4 nano up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Gemma 4 31B IT accepts text and images; GPT-5.4 nano accepts text and images. They handle the same number of input types.

Are any of these open source?

Gemma 4 31B IT publishes its weights and can be self-hosted; GPT-5.4 nano is proprietary.

Which is newer?

Gemma 4 31B IT is the newest, released Apr 2, 2026. GPT-5.4 nano came out Mar 17, 2026. Knowledge cutoff: 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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