API cost decision in 10 seconds

Gemma 4 26B A4B vs Llama 3.3 70B Instruct

Pick Gemma 4 26B A4B when budget and context both matter.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T19:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Gemma 4 26B A4B when budget and context both matter.

On the standard 1M input plus 500K output workload, Gemma 4 26B A4B is estimated at $0.23 vs $0.26 for Llama 3.3 70B Instruct, saving $0.04 (13.5% lower).

Cost-first pickGemma 4 26B A4B

Context-first pickGemma 4 26B A4B

Sample savings$0.0413.5%

10x traffic gap$0.35

Gemma 4 26B A4B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.35. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Gemma 4 26B A4B, balanced workload favors Gemma 4 26B A4B, and output-heavy chatbot favors Llama 3.3 70B Instruct.

Workload shape	Token mix	Better pick	Gemma 4 26B A4B	Llama 3.3 70B Instruct
Input-heavy / RAG	5M input + 500K output	Gemma 4 26B A4B	$0.46	$0.66
Balanced workload	1M input + 1M output	Gemma 4 26B A4B	$0.39	$0.42
Output-heavy chatbot	1M input + 5M output	Llama 3.3 70B Instruct	$1.71	$1.7

Cheaper input Gemma 4 26B A4B $0.06 vs $0.1 / 1M

Gemma 4 26B A4B is $0.04 cheaper per 1M input tokens (40% lower; 1.67x difference).

Cheaper output Llama 3.3 70B Instruct $0.33 vs $0.32 / 1M

Llama 3.3 70B Instruct is $0.01 cheaper per 1M output tokens (3% lower; 1.03x difference).

Larger context Gemma 4 26B A4B 262.14K vs 131.07K

Gemma 4 26B A4B has 131.07K more context (2x larger).

Sample workload Gemma 4 26B A4B $0.23 vs $0.26

Gemma 4 26B A4B is $0.04 cheaper on the standard workload (13.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Gemma 4 26B A4B Calculating… Estimated API cost

Llama 3.3 70B Instruct 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; Llama 3.3 70B Instruct has the lower output price; Gemma 4 26B A4B offers the larger 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 $0.26 for Llama 3.3 70B Instruct.

Best Fit

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

Choose Llama 3.3 70B Instruct when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Gemma 4 26B A4B is estimated at $0.23 vs $0.26 for Llama 3.3 70B Instruct, saving $0.04 (13.5% lower).
Gemma 4 26B A4B is $0.04 cheaper on the standard workload (13.5% lower).
Gemma 4 26B A4B is $0.04 cheaper per 1M input tokens (40% lower; 1.67x difference).
Llama 3.3 70B Instruct is $0.01 cheaper per 1M output tokens (3% lower; 1.03x difference).
Gemma 4 26B A4B has 131.07K more context (2x larger).

Head-to-Head Specs

Feature	Gemma 4 26B A4B (Google)	Llama 3.3 70B Instruct (Meta)
Input Price prompt tokens per 1M	$0.06	$0.1
Completion Price per 1M tokens	$0.33	$0.32
Sample Workload Cost 1M input + 500K output	$0.23	$0.26
Context Window	262.14K	131.07K
Release Date	2026-04-03	2024-12-06
Popularity	#30	#88

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Gemma 4 26B A4B	On the standard 1M input plus 500K output workload, Gemma 4 26B A4B is estimated at $0.23 vs $0.26 for Llama 3.3 70B Instruct, saving $0.04 (13.5% lower).
High-volume input processing	Gemma 4 26B A4B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Llama 3.3 70B Instruct	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Gemma 4 26B A4B	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Gemma 4 31B (free) can replace Gemma 4 26B A4B when lower sample workload cost matters most: $0.
Gemma 4 26B A4B (free) can replace Gemma 4 26B A4B when lower sample workload cost matters most: $0.
Lyria 3 Clip Preview can replace Gemma 4 26B A4B when lower sample workload cost matters most: $0.
Lyria 3 Pro Preview can replace Gemma 4 26B A4B when lower sample workload cost matters most: $0.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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

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Google catalog

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Meta catalog

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Open Meta 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...

Llama 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...