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Gemini 2.5 Pro Preview 06-05 vs GPT-5.1-Codex-Mini

Updated October 21, 2026. 4 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 Pro Preview 06-05Google
Coding
83.1
Overall
No data
Output $/M
$10.00
3
GPT-5.1-Codex-MiniOpenAI
Coding
6.2
Overall
20.4
Output $/M
$2.00
1
vs boards won of 4 shared

Decision reading

Pick Gemini 2.5 Pro Preview 06-05 for coding: it scores 83.1 on the Vibe Coding Index against 6.2 for GPT-5.1-Codex-Mini.

Pick GPT-5.1-Codex-Mini when output tokens cost 5.0x less, or when the benchmark that matters is LiveCodeBench (Artificial Analysis run), where it leads.

Shared results
4
Gemini 2.5 Pro Preview 06-05 only
10
GPT-5.1-Codex-Mini only
18
Like-for-like categories
3 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 2.5 Pro Preview 06-05 83.1 from 1 benchmark, GPT-5.1-Codex-Mini 6.2 from 1 benchmark.
Widest category
Coding, 5.8 points apart on average over 1 shared benchmark.
Widest single gap
LiveCodeBench (Artificial Analysis run): Gemini 2.5 Pro Preview 06-05 77.8% against GPT-5.1-Codex-Mini 83.6%, 5.8 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro Preview 06-05 $10.00 against GPT-5.1-Codex-Mini $2.00 per million output tokens, 5.0x apart.
Context window
Gemini 2.5 Pro Preview 06-05 takes 1.05M tokens, GPT-5.1-Codex-Mini 400K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemini 2.5 Pro Preview 06-05BarsGPT-5.1-Codex-MiniTies
Coding01
Reasoning20
Knowledge10
All shared boards31
CodingLike-for-likeFour of these boards feed the Vibe Coding Index01
Coding benchmarks for Gemini 2.5 Pro Preview 06-05 and GPT-5.1-Codex-Mini
BenchmarkGemini 2.5 Pro Preview 06-05GPT-5.1-Codex-MiniLeader
Aider polyglot83.1%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena WebDevNot measured1244Only GPT-5.1-Codex-Mini measured
LiveCodeBench (Vals AI)79.2%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LiveCodeBench (Artificial Analysis run)77.8%83.6%GPT-5.1-Codex-Mini
Terminal-Bench Hard (Artificial Analysis run)Not measured33.3%Only GPT-5.1-Codex-Mini measured
Terminal-BenchNot measured61.6%Only GPT-5.1-Codex-Mini measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena WebDev: HTMLNot measured1253Only GPT-5.1-Codex-Mini measured
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Gemini 2.5 Pro Preview 06-05 and GPT-5.1-Codex-Mini
BenchmarkGemini 2.5 Pro Preview 06-05GPT-5.1-Codex-MiniLeader
AA Intelligence IndexNot measured20.4Only GPT-5.1-Codex-Mini measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Gemini 2.5 Pro Preview 06-05 and GPT-5.1-Codex-Mini
BenchmarkGemini 2.5 Pro Preview 06-05GPT-5.1-Codex-MiniLeader
τ²-Bench TelecomNot measured62.9%Only GPT-5.1-Codex-Mini measured
METR time horizons55.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Remote Labor Index0.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
DeepResearch Bench42.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Gemini 2.5 Pro Preview 06-05 and GPT-5.1-Codex-Mini
BenchmarkGemini 2.5 Pro Preview 06-05GPT-5.1-Codex-MiniLeader
GPQA Diamond (Artificial Analysis run)83.6%81.3%Gemini 2.5 Pro Preview 06-05
Humanity's Last Exam (Artificial Analysis run)19.9%18.5%Gemini 2.5 Pro Preview 06-05
GPQA Diamond (Epoch AI run)84.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SimpleBench62.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
VPCT46.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Gemini 2.5 Pro Preview 06-05 and GPT-5.1-Codex-Mini
BenchmarkGemini 2.5 Pro Preview 06-05GPT-5.1-Codex-MiniLeader
AA Math IndexNot measured91.7Only GPT-5.1-Codex-Mini measured
AIME 2025 (Artificial Analysis run)Not measured91.7%Only GPT-5.1-Codex-Mini measured
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Gemini 2.5 Pro Preview 06-05 and GPT-5.1-Codex-Mini
BenchmarkGemini 2.5 Pro Preview 06-05GPT-5.1-Codex-MiniLeader
MMLU Pro (Artificial Analysis run)85.8%82.0%Gemini 2.5 Pro Preview 06-05
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemini 2.5 Pro Preview 06-05 and GPT-5.1-Codex-Mini
BenchmarkGemini 2.5 Pro Preview 06-05GPT-5.1-Codex-MiniLeader
Design Arena: websitesNot measured1111Only GPT-5.1-Codex-Mini measured
Design Arena: UI componentsNot measured1081Only GPT-5.1-Codex-Mini measured
Design Arena: game devNot measured1093Only GPT-5.1-Codex-Mini measured
Design Arena: data vizNot measured1097Only GPT-5.1-Codex-Mini measured
Design Arena: 3DNot measured988Only GPT-5.1-Codex-Mini measured
Design Arena: all code categoriesNot measured1094Only GPT-5.1-Codex-Mini measured
Design Arena: SVGNot measured977Only GPT-5.1-Codex-Mini measured
Design Arena: ASCII artNot measured1104Only GPT-5.1-Codex-Mini measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
General benchmarks for Gemini 2.5 Pro Preview 06-05 and GPT-5.1-Codex-Mini
BenchmarkGemini 2.5 Pro Preview 06-05GPT-5.1-Codex-MiniLeader
IFBenchNot measured67.9%Only GPT-5.1-Codex-Mini measured
Long context reasoning (AA-LCR)Not measured66.7%Only GPT-5.1-Codex-Mini measured
Fiction.LiveBench91.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 43 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro Preview 06-05 and GPT-5.1-Codex-Mini
BenchmarkGemini 2.5 Pro Preview 06-05GPT-5.1-Codex-MiniLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 2.5 Pro Preview 06-05$0.0063Fits in one request
GPT-5.1-Codex-Mini$0.0013Fits in one request

GPT-5.1-Codex-Mini costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro Preview 06-05$0.092Fits in one request
GPT-5.1-Codex-Mini$0.018Fits in one request

GPT-5.1-Codex-Mini costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro Preview 06-05$0.350Fits in one request
GPT-5.1-Codex-Mini$0.070Fits in one request

GPT-5.1-Codex-Mini costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 2.5 Pro Preview 06-05 and GPT-5.1-Codex-Mini
SpecificationGoogle Gemini 2.5 Pro Preview 06-05OpenAI GPT-5.1-Codex-Mini
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJune 5, 2025November 13, 2025
Context window1.05M400K
Input $/Mtok$1.25$0.25
Output $/Mtok$10.00$2.00
Coding index83.16.2
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro Preview 06-05 better than GPT-5.1-Codex-Mini for coding?

Pick Gemini 2.5 Pro Preview 06-05 for coding: it scores 83.1 on the Vibe Coding Index against 6.2 for GPT-5.1-Codex-Mini. Pick GPT-5.1-Codex-Mini when output tokens cost 5.0x less, or when the benchmark that matters is LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or GPT-5.1-Codex-Mini?

Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens; GPT-5.1-Codex-Mini costs $0.25 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 2.5 Pro Preview 06-05 or GPT-5.1-Codex-Mini?

Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 400K.

How many benchmarks is the Gemini 2.5 Pro Preview 06-05 vs GPT-5.1-Codex-Mini comparison based on?

4 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro Preview 06-05's coding index rests on 1 independent benchmark and GPT-5.1-Codex-Mini's on 1. Where only one model has a result, the page says so instead of naming a winner.

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