API cost decision in 10 seconds

GPT-5.6 Terra vs Gemini 3.5 Flash (batch)

Pick Gemini 3.5 Flash (batch) for lower cost; pick GPT-5.6 Terra 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 Gemini 3.5 Flash (batch) for lower cost; pick GPT-5.6 Terra only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Gemini 3.5 Flash (batch) is estimated at $3 vs $8 for GPT-5.6 Terra, saving $5 (62.5% lower).

Cost-first pickGemini 3.5 Flash (batch)
Context-first pickGPT-5.6 Terra
Sample savings$562.5%
10x traffic gap$50

GPT-5.6 Terra has more context, but Gemini 3.5 Flash (batch) saves $5 on the standard workload. At 10x that traffic, the same price gap is about $50. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemini 3.5 Flash (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGPT-5.6 TerraGemini 3.5 Flash (batch)
Input-heavy / RAG5M input + 500K outputGemini 3.5 Flash (batch)$16$6
Balanced workload1M input + 1M outputGemini 3.5 Flash (batch)$14$5.25
Output-heavy chatbot1M input + 5M outputGemini 3.5 Flash (batch)$62$23.25
Cheaper input Gemini 3.5 Flash (batch) $2 vs $0.75 / 1M

Gemini 3.5 Flash (batch) is $1.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).

Cheaper output Gemini 3.5 Flash (batch) $12 vs $4.5 / 1M

Gemini 3.5 Flash (batch) is $7.5 cheaper per 1M output tokens (62.5% lower; 2.67x difference).

Larger context GPT-5.6 Terra 1.05M vs 1.05M

GPT-5.6 Terra has 1.42K more context (1x larger).

Sample workload Gemini 3.5 Flash (batch) $8 vs $3

Gemini 3.5 Flash (batch) is $5 cheaper on the standard workload (62.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-5.6 Terra Calculating… Estimated API cost
Gemini 3.5 Flash (batch) 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

Gemini 3.5 Flash (batch) has the lower input price; Gemini 3.5 Flash (batch) has the lower output price; GPT-5.6 Terra offers the larger context window. For the 1M input plus 500K output sample, Gemini 3.5 Flash (batch) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $8 for GPT-5.6 Terra and $3 for Gemini 3.5 Flash (batch).

Best Fit

Choose GPT-5.6 Terra when you care most about larger context window.

Choose Gemini 3.5 Flash (batch) when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemini 3.5 Flash (batch) is estimated at $3 vs $8 for GPT-5.6 Terra, saving $5 (62.5% lower).
  • Gemini 3.5 Flash (batch) is $5 cheaper on the standard workload (62.5% lower).
  • Gemini 3.5 Flash (batch) is $1.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).
  • Gemini 3.5 Flash (batch) is $7.5 cheaper per 1M output tokens (62.5% lower; 2.67x difference).
  • GPT-5.6 Terra has 1.42K more context (1x larger).
Head-to-Head Specs
FeatureGPT-5.6 Terra
(OpenAI)
Gemini 3.5 Flash (batch)
(Google)
Input Price
prompt tokens per 1M
$2$0.75
Completion Price
per 1M tokens
$12$4.5
Sample Workload Cost
1M input + 500K output
$8$3
Context Window1.05M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemini 3.5 Flash (batch)On the standard 1M input plus 500K output workload, Gemini 3.5 Flash (batch) is estimated at $3 vs $8 for GPT-5.6 Terra, saving $5 (62.5% lower).
High-volume input processingGemini 3.5 Flash (batch)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemini 3.5 Flash (batch)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.6 TerraA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace GPT-5.6 Terra when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.6 Terra when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.6 Terra when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5.6 Terra when lower sample workload cost matters most: $0.12.

Cheaper alternatives

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

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

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

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OpenAI catalog

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

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Google catalog

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

Open Google models
GPT-5.6 Terra

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...

Gemini 3.5 Flash (batch)

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...