API cost decision in 10 seconds

GPT-5.3-Codex vs Cogito v2.1 671B

Pick Cogito v2.1 671B for lower cost; pick GPT-5.3-Codex 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 Cogito v2.1 671B for lower cost; pick GPT-5.3-Codex only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Cogito v2.1 671B is estimated at $1.88 vs $8.75 for GPT-5.3-Codex, saving $6.88 (78.6% lower).

Cost-first pickCogito v2.1 671B
Context-first pickGPT-5.3-Codex
Sample savings$6.8878.6%
10x traffic gap$68.75

GPT-5.3-Codex has more context, but Cogito v2.1 671B saves $6.88 on the standard workload. At 10x that traffic, the same price gap is about $68.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cogito v2.1 671B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGPT-5.3-CodexCogito v2.1 671B
Input-heavy / RAG5M input + 500K outputCogito v2.1 671B$15.75$6.88
Balanced workload1M input + 1M outputCogito v2.1 671B$15.75$2.5
Output-heavy chatbot1M input + 5M outputCogito v2.1 671B$71.75$7.5
Cheaper input Cogito v2.1 671B $1.75 vs $1.25 / 1M

Cogito v2.1 671B is $0.5 cheaper per 1M input tokens (28.6% lower; 1.4x difference).

Cheaper output Cogito v2.1 671B $14 vs $1.25 / 1M

Cogito v2.1 671B is $12.75 cheaper per 1M output tokens (91.1% lower; 11.2x difference).

Larger context GPT-5.3-Codex 400K vs 128K

GPT-5.3-Codex has 272K more context (3.12x larger).

Sample workload Cogito v2.1 671B $8.75 vs $1.88

Cogito v2.1 671B is $6.88 cheaper on the standard workload (78.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-5.3-Codex 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

Cogito v2.1 671B has the lower input price; Cogito v2.1 671B has the lower output price; GPT-5.3-Codex offers the larger context window. For the 1M input plus 500K output sample, Cogito v2.1 671B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $8.75 for GPT-5.3-Codex and $1.88 for Cogito v2.1 671B.

Best Fit

Choose GPT-5.3-Codex when you care most about larger context window.

Choose Cogito v2.1 671B 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, Cogito v2.1 671B is estimated at $1.88 vs $8.75 for GPT-5.3-Codex, saving $6.88 (78.6% lower).
  • Cogito v2.1 671B is $6.88 cheaper on the standard workload (78.6% lower).
  • Cogito v2.1 671B is $0.5 cheaper per 1M input tokens (28.6% lower; 1.4x difference).
  • Cogito v2.1 671B is $12.75 cheaper per 1M output tokens (91.1% lower; 11.2x difference).
  • GPT-5.3-Codex has 272K more context (3.12x larger).
Head-to-Head Specs
FeatureGPT-5.3-Codex
(OpenAI)		Cogito v2.1 671B
(Deep Cogito)
Input Price
prompt tokens per 1M		$1.75$1.25
Completion Price
per 1M tokens		$14$1.25
Sample Workload Cost
1M input + 500K output		$8.75$1.88
Context Window400K128K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionCogito v2.1 671BOn the standard 1M input plus 500K output workload, Cogito v2.1 671B is estimated at $1.88 vs $8.75 for GPT-5.3-Codex, saving $6.88 (78.6% lower).
High-volume input processingCogito v2.1 671BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsCogito v2.1 671BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.3-CodexA 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-5.3-Codex when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.3-Codex when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.3-Codex when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5.3-Codex 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.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • GPT-5.4 offers 1.05M context with $10 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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Deep Cogito catalog

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Open Deep Cogito models
GPT-5.3-Codex

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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...