API cost decision in 10 seconds

NewNano Banana 2.1 vs NewMistral Large 4

Pick Mistral Large 4 when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mistral Large 4 when budget and context both matter.

On the standard 1M input plus 500K output workload, Mistral Large 4 is estimated at $1.73 vs $5.25 for Nano Banana 2.1, saving $3.52 (67.1% lower).

Cost-first pickMistral Large 4
Context-first pickMistral Large 4
Sample savings$3.5267.1%
10x traffic gap$35.25

Mistral Large 4 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $35.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Mistral Large 4 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNano Banana 2.1Mistral Large 4
Input-heavy / RAG5M input + 500K outputMistral Large 4$11.25$4.45
Balanced workload1M input + 1M outputMistral Large 4$9$2.77
Output-heavy chatbot1M input + 5M outputMistral Large 4$39$11.13
Cheaper input Mistral Large 4 $1.5 vs $0.68 / 1M

Mistral Large 4 is $0.82 cheaper per 1M input tokens (54.7% lower; 2.21x difference).

Cheaper output Mistral Large 4 $7.5 vs $2.09 / 1M

Mistral Large 4 is $5.41 cheaper per 1M output tokens (72.1% lower; 3.59x difference).

Larger context Mistral Large 4 65.54K vs 1.05M

Mistral Large 4 has 983.04K more context (16x larger).

Sample workload Mistral Large 4 $5.25 vs $1.73

Mistral Large 4 is $3.52 cheaper on the standard workload (67.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nano Banana 2.1 Calculating… Estimated API cost
Mistral Large 4 Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Mistral Large 4 has the lower input price; Mistral Large 4 has the lower output price; Mistral Large 4 offers the larger context window. For the 1M input plus 500K output sample, Mistral Large 4 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $5.25 for Nano Banana 2.1 and $1.73 for Mistral Large 4.

Best Fit

Choose Nano Banana 2.1 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Mistral Large 4 when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Mistral Large 4 is estimated at $1.73 vs $5.25 for Nano Banana 2.1, saving $3.52 (67.1% lower).
  • Mistral Large 4 is $3.52 cheaper on the standard workload (67.1% lower).
  • Mistral Large 4 is $0.82 cheaper per 1M input tokens (54.7% lower; 2.21x difference).
  • Mistral Large 4 is $5.41 cheaper per 1M output tokens (72.1% lower; 3.59x difference).
  • Mistral Large 4 has 983.04K more context (16x larger).
Head-to-Head Specs
FeatureNewNano Banana 2.1
(Google)		NewMistral Large 4
(Mistral)
Input Price
prompt tokens per 1M		$1.5$0.68
Completion Price
per 1M tokens		$7.5$2.09
Sample Workload Cost
1M input + 500K output		$5.25$1.73
Context Window65.54K1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMistral Large 4On the standard 1M input plus 500K output workload, Mistral Large 4 is estimated at $1.73 vs $5.25 for Nano Banana 2.1, saving $3.52 (67.1% lower).
High-volume input processingMistral Large 4Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMistral Large 4Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMistral Large 4A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Google catalog

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Mistral catalog

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