ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5 Mini vs GPT-5.4 mini vs Kimi K2 Thinking

Too close to call on our weighted score (GPT-5 Mini 65, GPT-5.4 mini 63, Kimi K2 Thinking 58). The right pick depends on what you value most.

  1. OpenAI

    GPT-5 Mini

    Released Aug 7, 2025

    65/100
    • ECI145.5
    • Price$0.25 / $2.00
    • Context400K
  2. OpenAI

    GPT-5.4 mini

    Released Mar 17, 2026

    63/100
    • ECI148.8
    • Price$0.75 / $4.50
    • Context400K
  3. Moonshot AI

    Kimi K2 Thinking

    Released Nov 6, 2025

    58/100
    • ECI146.0
    • Price$0.60 / $2.50
    • Context262K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 3 points (GPT-5 Mini 65/100, GPT-5.4 mini 63/100, Kimi K2 Thinking 58/100), so choose by what matters most for your work: GPT-5.4 mini for raw capability and GPT-5 Mini on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.4 miniCapabilities Index (ECI): GPT-5.4 mini 148.8 · Kimi K2 Thinking 146.0 · GPT-5 Mini 145.5
  • Lowest priceGPT-5 MiniGPT-5 Mini $0.688 · Kimi K2 Thinking $1.07 · GPT-5.4 mini $1.69 per 1M tokens (3:1 blend)
  • Longest contextGPT-5 Mini and GPT-5.4 miniGPT-5 Mini 400,000 · GPT-5.4 mini 400,000 · Kimi K2 Thinking 262,144 tokens
  • Widest inputsGPT-5 Mini and GPT-5.4 miniGPT-5 Mini: Text, Images · GPT-5.4 mini: Text, Images · Kimi K2 Thinking: Text
  • Self-hostingKimi K2 ThinkingPublishes downloadable weights
How the score is built
MeasureWeightGPT-5 MiniGPT-5.4 miniKimi K2 Thinking
CapabilityCapabilities Index (ECI)50%727773
Price25%583948
Inputs & features15%707035
Context window10%444437
Overall100%65/10063/10058/100
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 GPT-5.4 mini vs Kimi K2 Thinking specifications side by side
SpecificationGPT-5 MiniOpenAIGPT-5.4 miniOpenAIKimi K2 ThinkingMoonshot AI
Capability
Capabilities Index (ECI)145.5148.8 (best)146.0
ECI rank#77 of 148#56 of 148 (best)#72 of 148
GPQA DiamondGraduate-level science questions75.0%86.9% (best)84.2%
FrontierMath Tiers 1–3Research-level mathematics46.7%51.2% (best)—
OTIS Mock AIME 2024–2025Competition mathematics86.7%88.9% (best)83.1%
SWE-bench VerifiedFixing real GitHub issues64.7%——
SimpleQA VerifiedShort factual questions21.6%29.4% (best)—
Price per million tokens
Input$0.25 (best)$0.75$0.60
Output$2.00 (best)$4.50$2.50
Cached input$0.025 (best)$0.075—
Blended (3:1)$0.688 (best)$1.69$1.07
Long-context rateSame rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial OpenAI APIMedian of 10 providers
Limits
Context window400,000 tokens (best)400,000 tokens (best)262,144 tokens
Max output128,000 tokens128,000 tokens262,144 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesminimal · low · medium · highYeslow · medium · high · xhighYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryProprietaryOpen
API model IDgpt-5-minigpt-5.4-mini—
API providers2329 (best)10
ReleasedAug 7, 2025Mar 17, 2026Nov 6, 2025
Knowledge cutoffMay 30, 2024Aug 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 Mini$6.50
  • GPT-5.4 mini$16.50
  • Kimi K2 Thinking$11.00
04 — Questions

Which should you choose?

Which is better: GPT-5 Mini, GPT-5.4 mini or Kimi K2 Thinking?

It is close. Our weighted score puts them within 3 points (GPT-5 Mini 65/100, GPT-5.4 mini 63/100, Kimi K2 Thinking 58/100), so choose by what matters most for your work: GPT-5.4 mini for raw capability and GPT-5 Mini on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5 Mini, GPT-5.4 mini or Kimi K2 Thinking?

GPT-5 Mini is cheaper at $0.25 input / $2.00 output per million tokens (official OpenAI API price). Kimi K2 Thinking costs $0.60 input / $2.50 output per million tokens (median across 10 API providers); GPT-5.4 mini costs $0.75 input / $4.50 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.688 per million tokens for GPT-5 Mini versus $1.07 for Kimi K2 Thinking (1.6× as much) and $1.69 for GPT-5.4 mini (2.5× as much).

Which scores higher on benchmarks?

GPT-5.4 mini scores higher on the Capabilities Index (ECI): GPT-5.4 mini 148.8 (#56 of 148), Kimi K2 Thinking 146.0 (#72 of 148) and GPT-5 Mini 145.5 (#77 of 148). The confidence ranges of the top two overlap (147.1–150.5 vs 143.4–147.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.4 mini 86.9%, Kimi K2 Thinking 84.2%, GPT-5 Mini 75.0%; OTIS Mock AIME 2024–2025 — GPT-5.4 mini 88.9%, GPT-5 Mini 86.7%, Kimi K2 Thinking 83.1%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.4 mini and Kimi K2 Thinking yet, so there is no like-for-like coding score. On overall capability, GPT-5.4 mini 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?

GPT-5 Mini and GPT-5.4 mini have the largest context windows (400,000 and 400,000 tokens), against 262,144 for Kimi K2 Thinking. Maximum output per response: GPT-5 Mini up to 128,000, GPT-5.4 mini up to 128,000, Kimi K2 Thinking up to 262,144 tokens.

Which can read images, PDFs, audio or video?

GPT-5 Mini accepts text and images; GPT-5.4 mini accepts text and images; Kimi K2 Thinking accepts text. GPT-5 Mini handles the widest range of inputs.

Are any of these open source?

Kimi K2 Thinking publishes its weights and can be self-hosted; GPT-5 Mini and GPT-5.4 mini is proprietary.

Which is newer?

GPT-5.4 mini is the newest, released Mar 17, 2026. Kimi K2 Thinking came out Nov 6, 2025; GPT-5 Mini came out Aug 7, 2025. Knowledge cutoff: GPT-5 Mini May 30, 2024, GPT-5.4 mini Aug 31, 2025, Kimi K2 Thinking 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.