API cost decision in 10 seconds

NewGPT-6.1 Terra Pro (batch) vs Seed 2.1 Turbo

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Page updated: 2026-10-27T02:08:10Z Data confirmed: 2026-10-28T05:08:04Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $1.75 for the standard 1M input plus 500K output workload.

Cost-first pickTie

Context-first pickGPT-6.1 Terra Pro (batch)

Sample savings$00%

10x traffic gap$0

Context-window winner: GPT-6.1 Terra Pro (batch). Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

The two models stay tied across the input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	GPT-6.1 Terra Pro (batch)	Seed 2.1 Turbo
Input-heavy / RAG	5M input + 500K output	Tie	$3.75	$3.75
Balanced workload	1M input + 1M output	Tie	$3	$3
Output-heavy chatbot	1M input + 5M output	Tie	$13	$13

Cheaper input Tie $0.5 vs $0.5 / 1M

Both models report the same input price at $0.5 per 1M tokens.

Cheaper output Tie $2.5 vs $2.5 / 1M

Both models report the same output price at $2.5 per 1M tokens.

Larger context GPT-6.1 Terra Pro (batch) 1.05M vs 262.14K

GPT-6.1 Terra Pro (batch) has 787.86K more context (4.01x larger).

Sample workload Tie $1.75 vs $1.75

Both models have the same estimated cost for the standard 1M input plus 500K output workload: $1.75.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT-6.1 Terra Pro (batch) Calculating… Estimated API cost

Seed 2.1 Turbo 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

both models tie on input price; both models tie on output price; GPT-6.1 Terra Pro (batch) offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is tied.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.75 for GPT-6.1 Terra Pro (batch) and $1.75 for Seed 2.1 Turbo.

Best Fit

Choose GPT-6.1 Terra Pro (batch) when you care most about larger context window.

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

Decision Notes

Both models are estimated at $1.75 for the standard 1M input plus 500K output workload.
Both models have the same estimated cost for the standard 1M input plus 500K output workload: $1.75.
Both models report the same input price at $0.5 per 1M tokens.
Both models report the same output price at $2.5 per 1M tokens.
GPT-6.1 Terra Pro (batch) has 787.86K more context (4.01x larger).

Head-to-Head Specs

Feature	NewGPT-6.1 Terra Pro (batch) (OpenAI)	Seed 2.1 Turbo (ByteDance Seed)
Input Price prompt tokens per 1M	$0.5	$0.5
Completion Price per 1M tokens	$2.5	$2.5
Sample Workload Cost 1M input + 500K output	$1.75	$1.75
Context Window	1.05M	262.14K
Release Date	2026-10-26	2026-08-12

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Tie	Both models are estimated at $1.75 for the standard 1M input plus 500K output workload.
High-volume input processing	Tie	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Tie	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GPT-6.1 Terra Pro (batch)	A 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-6.1 Terra Pro (batch) when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-6.1 Terra Pro (batch) when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-6.1 Terra Pro (batch) when lower sample workload cost matters most: $0.06.
gpt-oss-20b (batch) can replace GPT-6.1 Terra Pro (batch) when lower sample workload cost matters most: $0.08.

Larger context near this budget

Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.

Popular competitors

Kimi K3.1 Pro · MoonshotAI · #1
DeepSeek V4.1 Flash 1017 · DeepSeek · #2
DeepSeek V4.1 Flash · DeepSeek · #3
GLM 5.3 Flash · Z.ai · #4

Cheaper alternatives

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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

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

Open provider hubs

OpenAI catalog

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

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ByteDance Seed catalog

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

Open ByteDance Seed models

GPT-6.1 Terra Pro (batch)

GPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](https://openrouter.ai/openai/gpt-6.1-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

Seed 2.1 Turbo

Seed 2.1 Turbo is a multimodal model from ByteDance Seed for coding and long-horizon agent workflows. It is suited for end-to-end software delivery, multi-step task execution, and understanding visual and...