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Nano Banana (Gemini 2.5 Flash Image) vs Saba

Saba costs 4.2x less per output token than Nano Banana (Gemini 2.5 Flash Image) ($0.60 vs $2.50 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Nano Banana (Gemini 2.5 Flash Image)Google
Coding
No data
Overall
No data
Output $/M
$2.50
SabaMistral AI
Coding
No data
Overall
No data
Output $/M
$0.60
vs $2.50 vs $0.60 per 1M output tokens. Saba is 4.2x cheaper.

Nano Banana (Gemini 2.5 Flash Image) or Saba: which to pick

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

Compare them on price, context and the boards below.

No benchmark has tested both yet. Nano Banana (Gemini 2.5 Flash Image) has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; Saba on AA Intelligence Index, GPQA Diamond (Artificial Analysis run) and Humanity's Last Exam (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 (Gemini 2.5 Flash Image) not benchmarked, Saba 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 (Gemini 2.5 Flash Image) $2.50 against Saba $0.60 per million output tokens, 4.2x apart.
Context window
Both take 33K tokens.

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.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Nano Banana (Gemini 2.5 Flash Image) and Saba
BenchmarkNano Banana (Gemini 2.5 Flash Image)SabaLeader
AA Intelligence IndexNot measured6.5Only Saba measured
Neither model has a result on the other 1 board here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for Nano Banana (Gemini 2.5 Flash Image) and Saba
BenchmarkNano Banana (Gemini 2.5 Flash Image)SabaLeader
GPQA Diamond (Artificial Analysis run)Not measured42.4%Only Saba measured
Humanity's Last Exam (Artificial Analysis run)Not measured4.3%Only Saba measured
Neither model has a result on the other 20 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Knowledge benchmarks for Nano Banana (Gemini 2.5 Flash Image) and Saba
BenchmarkNano Banana (Gemini 2.5 Flash Image)SabaLeader
MMLU Pro (Artificial Analysis run)Not measured61.1%Only Saba measured
Neither model has a result on the other 17 boards here
Image generationDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Image generation benchmarks for Nano Banana (Gemini 2.5 Flash Image) and Saba
BenchmarkNano Banana (Gemini 2.5 Flash Image)SabaLeader
Design Arena: images1179Not measuredOnly Nano Banana (Gemini 2.5 Flash Image) measured
Design Arena: graphic design1151Not measuredOnly Nano Banana (Gemini 2.5 Flash Image) measured
Design Arena: logos1169Not measuredOnly Nano Banana (Gemini 2.5 Flash Image) measured
Neither model has a result on the other 2 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

Nano Banana (Gemini 2.5 Flash Image)$0.0015Fits in one request
Saba$0.0005Fits in one request

Saba costs less

Repository review

50K input + 3K output tokens

Nano Banana (Gemini 2.5 Flash Image)$0.022Exceeds the context window
Saba$0.012Exceeds the context window

Saba costs less

Agent loop

200K input + 10K output tokens

Nano Banana (Gemini 2.5 Flash Image)$0.085Exceeds the context window
Saba$0.046Exceeds the context window

Saba 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 (Gemini 2.5 Flash Image) and Saba
SpecificationGoogle Nano Banana (Gemini 2.5 Flash Image)Mistral Saba
MakerGoogleMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedOctober 7, 2025February 17, 2025
Context window33K33K
Input $/Mtok$0.30$0.20
Output $/Mtok$2.50$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nano Banana (Gemini 2.5 Flash Image) better than Saba for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Nano Banana (Gemini 2.5 Flash Image) or Saba?

Nano Banana (Gemini 2.5 Flash Image) costs $0.30 per million input tokens and $2.50 per million output tokens; Saba costs $0.20 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, Nano Banana (Gemini 2.5 Flash Image) or Saba?

Neither: both take 33K tokens.

Has any benchmark tested both Nano Banana (Gemini 2.5 Flash Image) and Saba?

No benchmark has tested both yet. Nano Banana (Gemini 2.5 Flash Image) has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; Saba on AA Intelligence Index, GPQA Diamond (Artificial Analysis run) and Humanity's Last Exam (Artificial Analysis run). Compare them on price and context instead. Data as of October 21, 2026.

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