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Codestral 2508 vs Nano Banana 2 (Gemini 3.1 Flash Image)

Updated October 21, 2026. No benchmark has tested both models yet. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Codestral 2508Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.90
Nano Banana 2 (Gemini 3.1 Flash Image)Google
Coding
No data
Overall
No data
Output $/M
$3.00
vs $0.90 vs $3.00 per 1M output tokens. Codestral 2508 is 3.3x cheaper.

Decision reading

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

Codestral 2508 has the edge where output tokens cost 3.3x less, and where the context window is larger, 256K against 131K tokens.

No benchmark has tested both yet. Codestral 2508 has results on ALE-Bench, Design Arena: websites and Design Arena: UI components; Nano Banana 2 (Gemini 3.1 Flash Image) on LMArena Image Edit. 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
Codestral 2508 not benchmarked, Nano Banana 2 (Gemini 3.1 Flash Image) 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
Codestral 2508 $0.90 against Nano Banana 2 (Gemini 3.1 Flash Image) $3.00 per million output tokens, 3.3x apart.
Context window
Codestral 2508 takes 256K tokens, Nano Banana 2 (Gemini 3.1 Flash Image) 131K.

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 Index1 board measured
Coding benchmarks for Codestral 2508 and Nano Banana 2 (Gemini 3.1 Flash Image)
BenchmarkCodestral 2508Nano Banana 2 (Gemini 3.1 Flash Image)Leader
ALE-Bench137.8Not measuredOnly Codestral 2508 measured
Neither model has a result on the other 37 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Web design benchmarks for Codestral 2508 and Nano Banana 2 (Gemini 3.1 Flash Image)
BenchmarkCodestral 2508Nano Banana 2 (Gemini 3.1 Flash Image)Leader
Design Arena: websites1013Not measuredOnly Codestral 2508 measured
Design Arena: UI components1017Not measuredOnly Codestral 2508 measured
Design Arena: game dev968Not measuredOnly Codestral 2508 measured
Design Arena: data viz1017Not measuredOnly Codestral 2508 measured
Design Arena: 3D1020Not measuredOnly Codestral 2508 measured
Design Arena: all code categories1007Not measuredOnly Codestral 2508 measured
Neither model has a result on the other 3 boards here
Image generationDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Image generation benchmarks for Codestral 2508 and Nano Banana 2 (Gemini 3.1 Flash Image)
BenchmarkCodestral 2508Nano Banana 2 (Gemini 3.1 Flash Image)Leader
LMArena Image EditNot measured1387Only Nano Banana 2 (Gemini 3.1 Flash Image) measured
Neither model has a result on the other 4 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

Codestral 2508$0.0008Fits in one request
Nano Banana 2 (Gemini 3.1 Flash Image)$0.0020Fits in one request

Codestral 2508 costs less

Repository review

50K input + 3K output tokens

Codestral 2508$0.018Fits in one request
Nano Banana 2 (Gemini 3.1 Flash Image)$0.034Fits in one request

Codestral 2508 costs less

Agent loop

200K input + 10K output tokens

Codestral 2508$0.069Fits in one request
Nano Banana 2 (Gemini 3.1 Flash Image)$0.130Exceeds the context window

Codestral 2508 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 Codestral 2508 and Nano Banana 2 (Gemini 3.1 Flash Image)
SpecificationMistral Codestral 2508Google Nano Banana 2 (Gemini 3.1 Flash Image)
MakerMistral AIGoogle
WeightsNo public weights listedNo public weights listed
ReleasedAugust 1, 2025June 18, 2026
Context window256K131K
Input $/Mtok$0.30$0.50
Output $/Mtok$0.90$3.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Codestral 2508 better than Nano Banana 2 (Gemini 3.1 Flash Image) for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Codestral 2508 has the edge where output tokens cost 3.3x less, and where the context window is larger, 256K against 131K tokens.

Which is cheaper, Codestral 2508 or Nano Banana 2 (Gemini 3.1 Flash Image)?

Codestral 2508 costs $0.30 per million input tokens and $0.90 per million output tokens; Nano Banana 2 (Gemini 3.1 Flash Image) costs $0.50 and $3.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Codestral 2508 or Nano Banana 2 (Gemini 3.1 Flash Image)?

Codestral 2508, with 256K tokens against 131K.

Has any benchmark tested both Codestral 2508 and Nano Banana 2 (Gemini 3.1 Flash Image)?

No benchmark has tested both yet. Codestral 2508 has results on ALE-Bench, Design Arena: websites and Design Arena: UI components; Nano Banana 2 (Gemini 3.1 Flash Image) on LMArena Image Edit. Compare them on price and context instead. Data as of October 21, 2026.

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