API cost decision in 10 seconds

🔥GPT-4o-mini vs Cogito v2.1 671B

Pick GPT-4o-mini when budget is the priority.

Page updated: 2026-05-26T12:03:47Z Data confirmed: 2026-05-26T14:08:03Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GPT-4o-mini when budget is the priority.

On the standard 1M input plus 500K output workload, GPT-4o-mini is estimated at $0.45 vs $1.88 for Cogito v2.1 671B, saving $1.43 (76% lower).

Cost-first pickGPT-4o-mini

Context-first pickBoth models

Sample savings$1.4376%

10x traffic gap$14.25

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $14.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GPT-4o-mini stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	GPT-4o-mini	Cogito v2.1 671B
Input-heavy / RAG	5M input + 500K output	GPT-4o-mini	$1.05	$6.88
Balanced workload	1M input + 1M output	GPT-4o-mini	$0.75	$2.5
Output-heavy chatbot	1M input + 5M output	GPT-4o-mini	$3.15	$7.5

Cheaper input GPT-4o-mini $0.15 vs $1.25 / 1M

GPT-4o-mini is $1.1 cheaper per 1M input tokens (88% lower; 8.33x difference).

Cheaper output GPT-4o-mini $0.6 vs $1.25 / 1M

GPT-4o-mini is $0.65 cheaper per 1M output tokens (52% lower; 2.08x difference).

Larger context Tie 128K vs 128K

Both models report the same context window at 128K tokens.

Sample workload GPT-4o-mini $0.45 vs $1.88

GPT-4o-mini is $1.43 cheaper on the standard workload (76% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT-4o-mini Calculating… Estimated API cost

Cogito v2.1 671B 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-4o-mini has the lower input price; GPT-4o-mini has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, GPT-4o-mini is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for GPT-4o-mini and $1.88 for Cogito v2.1 671B.

Best Fit

Choose GPT-4o-mini when you care most about lower input-token price, and lower output-token price.

Choose Cogito v2.1 671B 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, GPT-4o-mini is estimated at $0.45 vs $1.88 for Cogito v2.1 671B, saving $1.43 (76% lower).
GPT-4o-mini is $1.43 cheaper on the standard workload (76% lower).
GPT-4o-mini is $1.1 cheaper per 1M input tokens (88% lower; 8.33x difference).
GPT-4o-mini is $0.65 cheaper per 1M output tokens (52% lower; 2.08x difference).
Both models report the same context window at 128K tokens.

Head-to-Head Specs

Feature	🔥GPT-4o-mini (OpenAI)	Cogito v2.1 671B (Deep Cogito)
Input Price prompt tokens per 1M	$0.15	$1.25
Completion Price per 1M tokens	$0.6	$1.25
Sample Workload Cost 1M input + 500K output	$0.45	$1.88
Context Window	128K	128K
Release Date	2024-07-18	2025-11-13
Popularity	#16

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	GPT-4o-mini	On the standard 1M input plus 500K output workload, GPT-4o-mini is estimated at $0.45 vs $1.88 for Cogito v2.1 671B, saving $1.43 (76% lower).
High-volume input processing	GPT-4o-mini	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	GPT-4o-mini	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Tie	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-4o-mini when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-4o-mini when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-4o-mini when lower sample workload cost matters most: $0.1.
gpt-oss-120b can replace GPT-4o-mini when lower sample workload cost matters most: $0.13.

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.
DeepSeek V4 Pro offers 1.05M context with $0.87 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

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.

Open provider hubs

OpenAI catalog

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

Open OpenAI models

Deep Cogito catalog

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

Open Deep Cogito models

GPT-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

Cogito v2.1 671B

Cogito v2.1 671B MoE represents one of the strongest open models globally, matching performance of frontier closed and open models. This model is trained using self play with reinforcement learning...