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Comparison · 3 models · Updated Oct 4, 2026

Qwen3.6 Flash vs Gemma 4 31B IT vs GPT-5.4 nano

Too close to call on our weighted score (Qwen3.6 Flash 70, Gemma 4 31B IT 69, GPT-5.4 nano 68). The right pick depends on what you value most.

  1. Alibaba (Qwen)

    Qwen3.6 Flash

    Released Apr 27, 2026

    70/100
    • ECI143.3
    • Price$0.188 / $1.13
    • Context1M
    Full specs Remove Qwen3.6 Flash

  2. 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

  3. 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
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Qwen3.6 Flash 70/100, 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, Gemma 4 31B IT on price and Qwen3.6 Flash 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 · Qwen3.6 Flash 143.3 · Gemma 4 31B IT 142.8
  • Lowest priceGemma 4 31B ITGemma 4 31B IT $0.205 · Qwen3.6 Flash $0.422 · GPT-5.4 nano $0.463 per 1M tokens (3:1 blend)
  • Longest contextQwen3.6 FlashQwen3.6 Flash 1,000,000 · GPT-5.4 nano 400,000 · Gemma 4 31B IT 262,144 tokens
  • Widest inputsQwen3.6 FlashQwen3.6 Flash: Text, Images, Video · Gemma 4 31B IT: Text, Images · GPT-5.4 nano: Text, Images
  • Self-hostingGemma 4 31B ITPublishes downloadable weights
How the score is built
MeasureWeightQwen3.6 FlashGemma 4 31B ITGPT-5.4 nano
CapabilityCapabilities Index (ECI)50%706973
Price25%688366
Inputs & features15%807070
Context window10%603744
Overall100%70/10069/10068/100
02 — Side by side

Every spec in one table

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

Qwen3.6 Flash vs Gemma 4 31B IT vs GPT-5.4 nano specifications side by side
SpecificationQwen3.6 FlashAlibaba (Qwen)Gemma 4 31B ITGoogleGPT-5.4 nanoOpenAI
Capability
Capabilities Index (ECI)143.3142.8145.8 (best)
ECI rank#85 of 148#86 of 148#75 of 148 (best)
GPQA DiamondGraduate-level science questions83.3% (best)75.8%78.5%
FrontierMath Tiers 1–3Research-level mathematics22.5%—44.9% (best)
OTIS Mock AIME 2024–2025Competition mathematics84.4%73.3%87.8% (best)
SimpleQA VerifiedShort factual questions15.9% (best)10.4%11.7%
Price per million tokens
Input$0.188$0.14 (best)$0.20
Output$1.13$0.40 (best)$1.25
Cached input——$0.02
Blended (3:1)$0.422$0.205 (best)$0.463
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Alibaba APIMedian of 30 providersOfficial OpenAI API
Limits
Context window1,000,000 tokens (best)262,144 tokens400,000 tokens
Max output65,536 tokens32,768 tokens128,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoYesNoNo
ReasoningYesYesYeslow · medium · high · xhigh
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryOpenProprietary
API model IDqwen3.6-flashgemma-4-31b-itgpt-5.4-nano
API providers1638 (best)26
ReleasedApr 27, 2026Apr 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.

  • Qwen3.6 Flash$4.13
  • Gemma 4 31B IT$2.20
  • GPT-5.4 nano$4.50
04 — Questions

Which should you choose?

Which is better: Qwen3.6 Flash, Gemma 4 31B IT or GPT-5.4 nano?

It is close. Our weighted score puts them within a point (Qwen3.6 Flash 70/100, 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, Gemma 4 31B IT on price and Qwen3.6 Flash for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3.6 Flash, 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). Qwen3.6 Flash costs $0.188 input / $1.13 output per million tokens (official Alibaba API price); 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 $0.422 for Qwen3.6 Flash (2.1× as much) and $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), Qwen3.6 Flash 143.3 (#85 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 140.9–144.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.6 Flash 83.3%, GPT-5.4 nano 78.5%, Gemma 4 31B IT 75.8%; OTIS Mock AIME 2024–2025 — GPT-5.4 nano 87.8%, Qwen3.6 Flash 84.4%, Gemma 4 31B IT 73.3%; SimpleQA Verified — Qwen3.6 Flash 15.9%, 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 Qwen3.6 Flash, 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. All three support tool calling for agent workflows.

Which has the bigger context window?

Qwen3.6 Flash has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.4 nano and 262,144 for Gemma 4 31B IT. Maximum output per response: Qwen3.6 Flash up to 65,536, 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?

Qwen3.6 Flash accepts text, images and video; Gemma 4 31B IT accepts text and images; GPT-5.4 nano accepts text and images. Qwen3.6 Flash handles the widest range of inputs.

Are any of these open source?

Gemma 4 31B IT publishes its weights and can be self-hosted; Qwen3.6 Flash and GPT-5.4 nano is proprietary.

Which is newer?

Qwen3.6 Flash is the newest, released Apr 27, 2026. Gemma 4 31B IT came out 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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