| Signal | Cogito v2.1 671B | Delta | GPT-5.3-Codex |
|---|---|---|---|
Capabilities | 50 | -50 | |
Pricing | 1 | -13 | |
Context window size | 81 | -8 | |
Recency | 100 | -- | |
Output Capacity | 20 | -65 | |
| Overall Result | 0 wins | of 5 | 4 wins |
0
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0
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deepcogito
OpenAI
Cogito v2.1 671B saves you $687.50/month
That's $8250.00/year compared to GPT-5.3-Codex at your current usage level of 100K calls/month.
| Metric | Cogito v2.1 671B | GPT-5.3-Codex | Winner |
|---|---|---|---|
| Overall Score | 67 | 85 | GPT-5.3-Codex |
| Rank | #177 | #29 | GPT-5.3-Codex |
| Quality Rank | #177 | #29 | GPT-5.3-Codex |
| Adoption Rank | #177 | #29 | GPT-5.3-Codex |
| Parameters | 671B | -- | -- |
| Context Window | 128K | 400K | GPT-5.3-Codex |
| Pricing | $1.25/$1.25/M | $1.75/$14.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 100 | GPT-5.3-Codex |
| Pricing | 1 | 14 | GPT-5.3-Codex |
| Context window size | 81 | 89 | GPT-5.3-Codex |
| Recency | 100 | 100 | Cogito v2.1 671B |
| Output Capacity | 20 | 85 | GPT-5.3-Codex |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 67/100 (rank #177), placing it in the top 39% of all 290 models tracked.
Scores 85/100 (rank #29), placing it in the top 90% of all 290 models tracked.
GPT-5.3-Codex has a 18-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Cogito v2.1 671B offers 84% better value per quality point. At 1M tokens/day, you'd spend $37.50/month with Cogito v2.1 671B vs $236.25/month with GPT-5.3-Codex - a $198.75 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Cogito v2.1 671B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.25/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (85/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-5.3-Codex clearly outperforms Cogito v2.1 671B with a significant 18.299999999999997-point lead. For most general use cases, GPT-5.3-Codex is the stronger choice. However, Cogito v2.1 671B may still excel in niche scenarios.
Best for Quality
Cogito v2.1 671B
Marginally better benchmark scores; both are excellent
Best for Cost
Cogito v2.1 671B
84% lower pricing; better value at scale
Best for Reliability
Cogito v2.1 671B
Higher uptime and faster response speeds
Best for Prototyping
Cogito v2.1 671B
Stronger community support and better developer experience
Best for Production
Cogito v2.1 671B
Wider enterprise adoption and proven at scale
by deepcogito
| Capability | Cogito v2.1 671B | GPT-5.3-Codex |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
deepcogito
OpenAI
Cogito v2.1 671B saves you $16.20/month
That's 81% cheaper than GPT-5.3-Codex at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Cogito v2.1 671B | GPT-5.3-Codex |
|---|---|---|
| Context Window | 128K | 400K |
| Max Output Tokens | -- | 128,000 |
| Open Source | No | No |
| Created | Nov 13, 2025 | Feb 24, 2026 |
GPT-5.3-Codex scores 85/100 (rank #29) compared to Cogito v2.1 671B's 67/100 (rank #177), giving it a 18-point advantage. GPT-5.3-Codex is the stronger overall choice, though Cogito v2.1 671B may excel in specific areas like cost efficiency.
Cogito v2.1 671B is ranked #177 and GPT-5.3-Codex is ranked #29 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Cogito v2.1 671B is cheaper at $1.25/M output tokens vs GPT-5.3-Codex's $14.00/M output tokens - 11.2x more expensive. Input token pricing: Cogito v2.1 671B at $1.25/M vs GPT-5.3-Codex at $1.75/M.
GPT-5.3-Codex has a larger context window of 400,000 tokens compared to Cogito v2.1 671B's 128,000 tokens. A larger context window means the model can process longer documents and conversations.