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Comparison · 2 models · Updated Oct 4, 2026

Qwen3 14B vs Gemini 2.0 Flash

Gemini 2.0 Flash comes out ahead, 65 to 52 on our weighted score.

  1. Alibaba (Qwen)

    Qwen3 14B

    Released Apr 29, 2025

    52/100
    • ECI138.2
    • Price$0.35 / $1.40
    • Context131K
    Full specs Remove Qwen3 14B
  2. Our pick

    Google

    Gemini 2.0 Flash

    Released Dec 11, 2024

    65/100
    • ECI134.7
    • Price—
    • Context1.05M
    Full specs Remove Gemini 2.0 Flash

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Gemini 2.0 Flash is our pick

Gemini 2.0 Flash is the better all-round choice, scoring 65/100 against Qwen3 14B (52). It leads on inputs & features and context window. Qwen3 14B wins on capability. The score weighs capability 67%, inputs & features 20%, context window 13%.

  • CapabilityQwen3 14BCapabilities Index (ECI): Qwen3 14B 138.2 · Gemini 2.0 Flash 134.7
  • Lowest priceQwen3 14BQwen3 14B $0.613 per 1M tokens (3:1 blend) · Gemini 2.0 Flash unpriced
  • Longest contextGemini 2.0 FlashGemini 2.0 Flash 1,048,576 · Qwen3 14B 131,072 tokens
  • Widest inputsGemini 2.0 FlashQwen3 14B: Text · Gemini 2.0 Flash: Text, Images, PDFs, Audio, Video
  • Self-hostingQwen3 14BPublishes downloadable weights
How the score is built
MeasureWeightQwen3 14BGemini 2.0 Flash
CapabilityCapabilities Index (ECI)67%6359
Inputs & features20%3590
Context window13%2461
Overall100%52/10065/100

Left out because at least one model lacks the data: price. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

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

Qwen3 14B vs Gemini 2.0 Flash specifications side by side
SpecificationQwen3 14BAlibaba (Qwen)Gemini 2.0 FlashGoogle
Capability
Capabilities Index (ECI)138.2 (best)134.7
ECI rank#107 of 148 (best)#116 of 148
GPQA DiamondGraduate-level science questions63.8%—
OTIS Mock AIME 2024–2025Competition mathematics66.4%—
Price per million tokens
Input$0.35—
Output$1.40—
Cached input——
Blended (3:1)$0.613—
Long-context rateSame rate—
Price sourceOfficial Alibaba API—
Limits
Context window131,072 tokens1,048,576 tokens (best)
Max output8,192 tokens8,192 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoYes
VideoNoYes
ReasoningYesNo
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenProprietary
API model IDqwen3-14b—
API providers1—
ReleasedApr 29, 2025Dec 11, 2024
Knowledge cutoffApr 2025Jun 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.

  • Qwen3 14B$6.30
  • Gemini 2.0 Flash—
04 — Questions

Which should you choose?

Which is better: Qwen3 14B or Gemini 2.0 Flash?

Gemini 2.0 Flash is the better all-round choice, scoring 65/100 against Qwen3 14B (52). It leads on inputs & features and context window. Qwen3 14B wins on capability. The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, Qwen3 14B or Gemini 2.0 Flash?

Qwen3 14B is cheaper at $0.35 input / $1.40 output per million tokens (official Alibaba API price). . At a typical mix of three input tokens to one output token, that is $0.613 per million tokens for Qwen3 14B versus . Gemini 2.0 Flash has no published per-token price.

Which scores higher on benchmarks?

Qwen3 14B scores higher on the Capabilities Index (ECI): Qwen3 14B 138.2 (#107 of 148) and Gemini 2.0 Flash 134.7 (#116 of 148). The confidence ranges of the top two overlap (133.5–140.1 vs 124.3–136.7), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 14B and Gemini 2.0 Flash yet, so there is no like-for-like coding score. On overall capability, Qwen3 14B 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 2.0 Flash has the largest context window at 1,048,576 tokens, against 131,072 for Qwen3 14B. Maximum output per response: Qwen3 14B up to 8,192, Gemini 2.0 Flash up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Qwen3 14B accepts text; Gemini 2.0 Flash accepts text, images, PDFs, audio and video. Gemini 2.0 Flash handles the widest range of inputs.

Are any of these open source?

Qwen3 14B publishes its weights and can be self-hosted; Gemini 2.0 Flash is proprietary.

Which is newer?

Qwen3 14B is the newest, released Apr 29, 2025. Gemini 2.0 Flash came out Dec 11, 2024. Knowledge cutoff: Qwen3 14B Apr 2025, Gemini 2.0 Flash Jun 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.

05 — Keep comparing

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