Enter opens the highlighted result. Esc closes.

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) vs GPT-5.1-Codex-Mini

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) costs 1.3x less per output token than GPT-5.1-Codex-Mini ($1.50 vs $2.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)Google
Coding
No data
Overall
No data
Output $/M
$1.50
GPT-5.1-Codex-MiniOpenAI
Coding
No data
Overall
20.4
Output $/M
$2.00
vs $1.50 vs $2.00 per 1M output tokens. Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is 1.3x cheaper.

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) or GPT-5.1-Codex-Mini: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) for output tokens 1.3x cheaper ($1.50 vs $2.00 per million).

No benchmark has tested both yet. Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; GPT-5.1-Codex-Mini on LMArena WebDev, LiveCodeBench (Artificial Analysis run) and Terminal-Bench Hard (Artificial Analysis run). Compare them on price and context instead.

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
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) not benchmarked, GPT-5.1-Codex-Mini not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) $1.50 against GPT-5.1-Codex-Mini $2.00 per million output tokens, 1.3x apart.
Context window
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) takes 66K tokens, GPT-5.1-Codex-Mini 400K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index5 boards measured
Coding benchmarks for Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and GPT-5.1-Codex-Mini
BenchmarkNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GPT-5.1-Codex-MiniLeader
LMArena WebDevNot measured1244Only GPT-5.1-Codex-Mini measured
LiveCodeBench (Artificial Analysis run)Not measured83.6%Only GPT-5.1-Codex-Mini measured
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
LMArena WebDev: HTMLNot measured1253Only GPT-5.1-Codex-Mini measured
Neither model has a result on the other 33 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and GPT-5.1-Codex-Mini
BenchmarkNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GPT-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 index1 board measured
Agentic work benchmarks for Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and GPT-5.1-Codex-Mini
BenchmarkNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GPT-5.1-Codex-MiniLeader
τ²-Bench TelecomNot measured62.9%Only GPT-5.1-Codex-Mini measured
Neither model has a result on the other 38 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and GPT-5.1-Codex-Mini
BenchmarkNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GPT-5.1-Codex-MiniLeader
GPQA Diamond (Artificial Analysis run)Not measured81.3%Only GPT-5.1-Codex-Mini measured
Humanity's Last Exam (Artificial Analysis run)Not measured18.5%Only GPT-5.1-Codex-Mini measured
Neither model has a result on the other 19 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and GPT-5.1-Codex-Mini
BenchmarkNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GPT-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
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Knowledge benchmarks for Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and GPT-5.1-Codex-Mini
BenchmarkNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GPT-5.1-Codex-MiniLeader
MMLU Pro (Artificial Analysis run)Not measured82.0%Only GPT-5.1-Codex-Mini measured
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Web design benchmarks for Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and GPT-5.1-Codex-Mini
BenchmarkNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GPT-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 measured1092Only 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 measured978Only GPT-5.1-Codex-Mini measured
Design Arena: ASCII artNot measured1105Only 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 index2 boards measured
General benchmarks for Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and GPT-5.1-Codex-Mini
BenchmarkNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GPT-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
Neither model has a result on the other 44 boards here
Image generationDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Image generation benchmarks for Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and GPT-5.1-Codex-Mini
BenchmarkNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GPT-5.1-Codex-MiniLeader
Design Arena: images1239Not measuredOnly Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) measured
Design Arena: graphic design1249Not measuredOnly Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) measured
Design Arena: logos1214Not measuredOnly Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) measured
LMArena Text to Image1250Not measuredOnly Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) measured
LMArena Image Edit1313Not measuredOnly Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) measured

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

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)$0.0010Fits in one request
GPT-5.1-Codex-Mini$0.0013Fits in one request

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) costs less

Repository review

50K input + 3K output tokens

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)$0.017Fits in one request
GPT-5.1-Codex-Mini$0.018Fits in one request

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) costs less

Agent loop

200K input + 10K output tokens

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)$0.065Exceeds the context window
GPT-5.1-Codex-Mini$0.070Fits in one request

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) 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 Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and GPT-5.1-Codex-Mini
SpecificationGoogle Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)OpenAI GPT-5.1-Codex-Mini
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJune 30, 2026November 13, 2025
Context window66K400K
Input $/Mtok$0.25$0.25
Output $/Mtok$1.50$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) better than GPT-5.1-Codex-Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) for output tokens 1.3x cheaper ($1.50 vs $2.00 per million).

Which is cheaper, Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) or GPT-5.1-Codex-Mini?

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) costs $0.25 per million input tokens and $1.50 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, Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) or GPT-5.1-Codex-Mini?

GPT-5.1-Codex-Mini, with 400K tokens against 66K.

Has any benchmark tested both Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and GPT-5.1-Codex-Mini?

No benchmark has tested both yet. Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; GPT-5.1-Codex-Mini on LMArena WebDev, LiveCodeBench (Artificial Analysis run) and Terminal-Bench Hard (Artificial Analysis run). Compare them on price and context instead. Data as of October 21, 2026.

Compare next