API cost decision in 10 seconds

gpt-oss-120b (free) vs Gemma 4 26B A4B

Pick gpt-oss-120b (free) for lower cost; pick Gemma 4 26B A4B only if the larger context window matters more.

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

Budget verdict

Pick gpt-oss-120b (free) for lower cost; pick Gemma 4 26B A4B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, gpt-oss-120b (free) is estimated at $0 vs $0.23 for Gemma 4 26B A4B, saving $0.23 (100% lower).

Cost-first pickgpt-oss-120b (free)
Context-first pickGemma 4 26B A4B
Sample savings$0.23100%
10x traffic gap$2.25

Gemma 4 26B A4B has more context, but gpt-oss-120b (free) saves $0.23 on the standard workload. At 10x that traffic, the same price gap is about $2.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

gpt-oss-120b (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickgpt-oss-120b (free)Gemma 4 26B A4B
Input-heavy / RAG5M input + 500K outputgpt-oss-120b (free)$0$0.46
Balanced workload1M input + 1M outputgpt-oss-120b (free)$0$0.39
Output-heavy chatbot1M input + 5M outputgpt-oss-120b (free)$0$1.71
Cheaper input gpt-oss-120b (free) $0 vs $0.06 / 1M

gpt-oss-120b (free) is free for input tokens while Gemma 4 26B A4B costs $0.06 per 1M tokens.

Cheaper output gpt-oss-120b (free) $0 vs $0.33 / 1M

gpt-oss-120b (free) is free for output tokens while Gemma 4 26B A4B costs $0.33 per 1M tokens.

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

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

Sample workload gpt-oss-120b (free) $0 vs $0.23

gpt-oss-120b (free) is free for the standard workload while the other model is estimated at $0.23.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
gpt-oss-120b (free) Calculating… Estimated API cost
Gemma 4 26B A4B 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

gpt-oss-120b (free) has the lower input price; gpt-oss-120b (free) has the lower output price; Gemma 4 26B A4B offers the larger context window. For the 1M input plus 500K output sample, gpt-oss-120b (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for gpt-oss-120b (free) and $0.23 for Gemma 4 26B A4B.

Best Fit

Choose gpt-oss-120b (free) when you care most about lower input-token price, and lower output-token price.

Choose Gemma 4 26B A4B when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, gpt-oss-120b (free) is estimated at $0 vs $0.23 for Gemma 4 26B A4B, saving $0.23 (100% lower).
  • gpt-oss-120b (free) is free for the standard workload while the other model is estimated at $0.23.
  • gpt-oss-120b (free) is free for input tokens while Gemma 4 26B A4B costs $0.06 per 1M tokens.
  • gpt-oss-120b (free) is free for output tokens while Gemma 4 26B A4B costs $0.33 per 1M tokens.
  • Gemma 4 26B A4B has 131.07K more context (2x larger).
Head-to-Head Specs
Featuregpt-oss-120b (free)
(OpenAI)
Gemma 4 26B A4B
(Google)
Input Price
prompt tokens per 1M
$0$0.06
Completion Price
per 1M tokens
$0$0.33
Sample Workload Cost
1M input + 500K output
$0$0.23
Context Window131.07K262.14K
Release Date
Popularity#26#30

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productiongpt-oss-120b (free)On the standard 1M input plus 500K output workload, gpt-oss-120b (free) is estimated at $0 vs $0.23 for Gemma 4 26B A4B, saving $0.23 (100% lower).
High-volume input processinggpt-oss-120b (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsgpt-oss-120b (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemma 4 26B A4BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
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.
  • MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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OpenAI catalog

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Google catalog

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

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gpt-oss-120b (free)

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...

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...