API cost decision in 10 seconds

Gemma 4 26B A4B vs Kimi K2 Thinking

Pick Gemma 4 26B A4B when budget is the priority.

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

Budget verdict

Pick Gemma 4 26B A4B when budget is the priority.

On the standard 1M input plus 500K output workload, Gemma 4 26B A4B is estimated at $0.23 vs $1.85 for Kimi K2 Thinking, saving $1.62 (87.8% lower).

Cost-first pickGemma 4 26B A4B
Context-first pickBoth models
Sample savings$1.6287.8%
10x traffic gap$16.25

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $16.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemma 4 26B A4B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemma 4 26B A4BKimi K2 Thinking
Input-heavy / RAG5M input + 500K outputGemma 4 26B A4B$0.46$4.25
Balanced workload1M input + 1M outputGemma 4 26B A4B$0.39$3.1
Output-heavy chatbot1M input + 5M outputGemma 4 26B A4B$1.71$13.1
Cheaper input Gemma 4 26B A4B $0.06 vs $0.6 / 1M

Gemma 4 26B A4B is $0.54 cheaper per 1M input tokens (90% lower; 10x difference).

Cheaper output Gemma 4 26B A4B $0.33 vs $2.5 / 1M

Gemma 4 26B A4B is $2.17 cheaper per 1M output tokens (86.8% lower; 7.58x difference).

Larger context Tie 262.14K vs 262.14K

Both models report the same context window at 262.14K tokens.

Sample workload Gemma 4 26B A4B $0.23 vs $1.85

Gemma 4 26B A4B is $1.62 cheaper on the standard workload (87.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 26B A4B Calculating… Estimated API cost
Kimi K2 Thinking 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

Gemma 4 26B A4B has the lower input price; Gemma 4 26B A4B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Gemma 4 26B A4B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.23 for Gemma 4 26B A4B and $1.85 for Kimi K2 Thinking.

Best Fit

Choose Gemma 4 26B A4B when you care most about lower input-token price, and lower output-token price.

Choose Kimi K2 Thinking when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 4 26B A4B is estimated at $0.23 vs $1.85 for Kimi K2 Thinking, saving $1.62 (87.8% lower).
  • Gemma 4 26B A4B is $1.62 cheaper on the standard workload (87.8% lower).
  • Gemma 4 26B A4B is $0.54 cheaper per 1M input tokens (90% lower; 10x difference).
  • Gemma 4 26B A4B is $2.17 cheaper per 1M output tokens (86.8% lower; 7.58x difference).
  • Both models report the same context window at 262.14K tokens.
Head-to-Head Specs
FeatureGemma 4 26B A4B
(Google)
Kimi K2 Thinking
(MoonshotAI)
Input Price
prompt tokens per 1M
$0.06$0.6
Completion Price
per 1M tokens
$0.33$2.5
Sample Workload Cost
1M input + 500K output
$0.23$1.85
Context Window262.14K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemma 4 26B A4BOn the standard 1M input plus 500K output workload, Gemma 4 26B A4B is estimated at $0.23 vs $1.85 for Kimi K2 Thinking, saving $1.62 (87.8% lower).
High-volume input processingGemma 4 26B A4BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemma 4 26B A4BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Larger context alternatives

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Google catalog

Review all tracked Google models before deciding whether this matchup is the right shortlist.

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MoonshotAI catalog

Check other MoonshotAI models with comparable pricing, context, or release timing.

Open MoonshotAI models
Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

Kimi K2 Thinking

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...