ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Mistral Small 3.2 vs GPT OSS 20B vs Gemini 2.5 Flash-Lite

Gemini 2.5 Flash-Lite comes out ahead, 71 to 64 and 60 on our weighted score, though GPT OSS 20B is 28% cheaper per token.

  1. Mistral AI

    Mistral Small 3.2

    Released Jun 20, 2025

    60/100
    • ECI131.7
    • Price$0.10 / $0.30
    • Context128K
    Full specs Remove Mistral Small 3.2

  2. OpenAI

    GPT OSS 20B

    Released Aug 5, 2025

    64/100
    • ECI137.8
    • Price$0.07 / $0.295
    • Context131K
    Full specs Remove GPT OSS 20B
  3. Our pick

    Google

    Gemini 2.5 Flash-Lite

    Released Jun 17, 2025

    71/100
    • ECI133.9
    • Price$0.10 / $0.40
    • Context1.05M
    Full specs Remove Gemini 2.5 Flash-Lite
01 — Verdict

Gemini 2.5 Flash-Lite is our pick

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 71/100 against GPT OSS 20B (64) and Mistral Small 3.2 (60). It leads on inputs & features and context window. GPT OSS 20B wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT OSS 20BCapabilities Index (ECI): GPT OSS 20B 137.8 · Gemini 2.5 Flash-Lite 133.9 · Mistral Small 3.2 131.7
  • Lowest priceGPT OSS 20BGPT OSS 20B $0.126 · Mistral Small 3.2 $0.15 · Gemini 2.5 Flash-Lite $0.175 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · GPT OSS 20B 131,072 · Mistral Small 3.2 128,000 tokens
  • Widest inputsGemini 2.5 Flash-LiteMistral Small 3.2: Text, Images · GPT OSS 20B: Text · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video
  • Self-hostingMistral Small 3.2 and GPT OSS 20BPublishes downloadable weights
How the score is built
MeasureWeightMistral Small 3.2GPT OSS 20BGemini 2.5 Flash-Lite
CapabilityCapabilities Index (ECI)50%556358
Price25%899286
Inputs & features15%5045100
Context window10%242461
Overall100%60/10064/10071/100
02 — Side by side

Every spec in one table

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

Mistral Small 3.2 vs GPT OSS 20B vs Gemini 2.5 Flash-Lite specifications side by side
SpecificationMistral Small 3.2Mistral AIGPT OSS 20BOpenAIGemini 2.5 Flash-LiteGoogle
Capability
Capabilities Index (ECI)131.7137.8 (best)133.9
ECI rank#123 of 148#108 of 148 (best)#118 of 148
GPQA DiamondGraduate-level science questions49.1%60.8% (best)—
OTIS Mock AIME 2024–2025Competition mathematics30.3%65.3% (best)—
Price per million tokens
Input$0.10$0.07 (best)$0.10
Output$0.30$0.295 (best)$0.40
Cached input——$0.01
Blended (3:1)$0.15$0.126 (best)$0.175
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Mistral APIMedian of 18 providersOfficial Google API
Limits
Context window128,000 tokens131,072 tokens1,048,576 tokens (best)
Max output16,384 tokens32,768 tokens65,536 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoYes
AudioNoNoYes
VideoNoNoYes
ReasoningNoYesYes
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsOpenOpenProprietary
API model IDmistral-small-2506—gemini-2.5-flash-lite
API providers61920 (best)
ReleasedJun 20, 2025Aug 5, 2025Jun 17, 2025
Knowledge cutoffMar 2025—Jan 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.

  • Mistral Small 3.2$1.60
  • GPT OSS 20B$1.29
  • Gemini 2.5 Flash-Lite$1.80
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.2, GPT OSS 20B or Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 71/100 against GPT OSS 20B (64) and Mistral Small 3.2 (60). It leads on inputs & features and context window. GPT OSS 20B wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Small 3.2, GPT OSS 20B or Gemini 2.5 Flash-Lite?

GPT OSS 20B is cheaper at $0.07 input / $0.295 output per million tokens (median across 18 API providers). Mistral Small 3.2 costs $0.10 input / $0.30 output per million tokens (official Mistral API price); Gemini 2.5 Flash-Lite costs $0.10 input / $0.40 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.126 per million tokens for GPT OSS 20B versus $0.15 for Mistral Small 3.2 (1.2× as much) and $0.175 for Gemini 2.5 Flash-Lite (1.4× as much).

Which scores higher on benchmarks?

GPT OSS 20B scores higher on the Capabilities Index (ECI): GPT OSS 20B 137.8 (#108 of 148), Gemini 2.5 Flash-Lite 133.9 (#118 of 148) and Mistral Small 3.2 131.7 (#123 of 148). The confidence ranges of the top two overlap (133.0–139.6 vs 129.8–136.3), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.2, GPT OSS 20B and Gemini 2.5 Flash-Lite yet, so there is no like-for-like coding score. On overall capability, GPT OSS 20B 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?

Gemini 2.5 Flash-Lite has the largest context window at 1,048,576 tokens, against 131,072 for GPT OSS 20B and 128,000 for Mistral Small 3.2. Maximum output per response: Mistral Small 3.2 up to 16,384, GPT OSS 20B up to 32,768, Gemini 2.5 Flash-Lite up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.2 accepts text and images; GPT OSS 20B accepts text; Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video. Gemini 2.5 Flash-Lite handles the widest range of inputs.

Are any of these open source?

Mistral Small 3.2 and GPT OSS 20B publishes its weights and can be self-hosted; Gemini 2.5 Flash-Lite is proprietary.

Which is newer?

GPT OSS 20B is the newest, released Aug 5, 2025. Mistral Small 3.2 came out Jun 20, 2025; Gemini 2.5 Flash-Lite came out Jun 17, 2025. Knowledge cutoff: Mistral Small 3.2 Mar 2025, Gemini 2.5 Flash-Lite Jan 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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