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Comparison · 2 models · Updated Oct 4, 2026

GPT-5 Mini vs Qwen3 14B

GPT-5 Mini comes out ahead, 65 to 54 on our weighted score, though Qwen3 14B is 11% cheaper per token.

  1. Our pick

    OpenAI

    GPT-5 Mini

    Released Aug 7, 2025

    65/100
    • ECI145.5
    • Price$0.25 / $2.00
    • Context400K
    Full specs Remove GPT-5 Mini

  2. Alibaba (Qwen)

    Qwen3 14B

    Released Apr 29, 2025

    54/100
    • ECI138.2
    • Price$0.35 / $1.40
    • Context131K
    Full specs Remove Qwen3 14B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-5 Mini is our pick

GPT-5 Mini is the better all-round choice, scoring 65/100 against Qwen3 14B (54). It leads on capability, inputs & features and context window. Qwen3 14B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5 MiniCapabilities Index (ECI): GPT-5 Mini 145.5 · Qwen3 14B 138.2
  • Lowest priceQwen3 14BQwen3 14B $0.613 · GPT-5 Mini $0.688 per 1M tokens (3:1 blend)
  • Longest contextGPT-5 MiniGPT-5 Mini 400,000 · Qwen3 14B 131,072 tokens
  • Widest inputsGPT-5 MiniGPT-5 Mini: Text, Images · Qwen3 14B: Text
  • Self-hostingQwen3 14BPublishes downloadable weights
How the score is built
MeasureWeightGPT-5 MiniQwen3 14B
CapabilityCapabilities Index (ECI)50%7263
Price25%5860
Inputs & features15%7035
Context window10%4424
Overall100%65/10054/100
02 — Side by side

Every spec in one table

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

GPT-5 Mini vs Qwen3 14B specifications side by side
SpecificationGPT-5 MiniOpenAIQwen3 14BAlibaba (Qwen)
Capability
Capabilities Index (ECI)145.5 (best)138.2
ECI rank#77 of 148 (best)#107 of 148
GPQA DiamondGraduate-level science questions75.0% (best)63.8%
FrontierMath Tiers 1–3Research-level mathematics46.7%—
OTIS Mock AIME 2024–2025Competition mathematics86.7% (best)66.4%
SWE-bench VerifiedFixing real GitHub issues64.7%—
SimpleQA VerifiedShort factual questions21.6%—
Price per million tokens
Input$0.25 (best)$0.35
Output$2.00$1.40 (best)
Cached input$0.025—
Blended (3:1)$0.688$0.613 (best)
Long-context rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Alibaba API
Limits
Context window400,000 tokens (best)131,072 tokens
Max output128,000 tokens (best)8,192 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesminimal · low · medium · highYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpen
API model IDgpt-5-miniqwen3-14b
API providers23 (best)1
ReleasedAug 7, 2025Apr 29, 2025
Knowledge cutoffMay 30, 2024Apr 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.

  • GPT-5 Mini$6.50
  • Qwen3 14B$6.30
04 — Questions

Which should you choose?

Which is better: GPT-5 Mini or Qwen3 14B?

GPT-5 Mini is the better all-round choice, scoring 65/100 against Qwen3 14B (54). It leads on capability, inputs & features and context window. Qwen3 14B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5 Mini or Qwen3 14B?

Qwen3 14B is cheaper at $0.35 input / $1.40 output per million tokens (official Alibaba API price). GPT-5 Mini costs $0.25 input / $2.00 output per million tokens (official OpenAI 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 $0.688 for GPT-5 Mini (1.1× as much).

Which scores higher on benchmarks?

GPT-5 Mini scores higher on the Capabilities Index (ECI): GPT-5 Mini 145.5 (#77 of 148) and Qwen3 14B 138.2 (#107 of 148). Their confidence ranges do not overlap (143.6–147.0 vs 133.5–140.1), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-5 Mini 75.0%, Qwen3 14B 63.8%; OTIS Mock AIME 2024–2025 — GPT-5 Mini 86.7%, Qwen3 14B 66.4%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 14B yet, so there is no like-for-like coding score. On overall capability, GPT-5 Mini 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 Mini has the largest context window at 400,000 tokens, against 131,072 for Qwen3 14B. Maximum output per response: GPT-5 Mini up to 128,000, Qwen3 14B up to 8,192 tokens.

Which can read images, PDFs, audio or video?

GPT-5 Mini accepts text and images; Qwen3 14B accepts text. GPT-5 Mini handles the widest range of inputs.

Are any of these open source?

Qwen3 14B publishes its weights and can be self-hosted; GPT-5 Mini is proprietary.

Which is newer?

GPT-5 Mini is the newest, released Aug 7, 2025. Qwen3 14B came out Apr 29, 2025. Knowledge cutoff: GPT-5 Mini May 30, 2024, Qwen3 14B Apr 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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