Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Claude Opus 4 vs Deep Cogito: Cogito v2.1 671B benchmark

Name: Claude Opus 4 vs Deep Cogito: Cogito v2.1 671B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4 (Anthropic) and Deep Cogito: Cogito v2.1 671B (deepcogito) using the latest snapshots we have as of Aug 17, 2026. Deep Cogito: Cogito v2.1 671B wins on output price at $1.25/1M. Claude Opus 4 has the larger context window (200k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Anthropic

Claude Opus 4

First Claude 4 Opus generation. Baseline for opus 4 vs opus 5.

Elo 1,490$75/1M out

deepcogito

Deep Cogito: Cogito v2.1 671B

Auto-discovered from OpenRouter (deepcogito/cogito-v2.1-671b). Preview until a second source matches.

$1.25/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4 (8)vsDeep Cogito: Cogito v2.1 671B (2)

Claude Opus 4: 8W (80%)Overall: Claude Opus 4Deep Cogito: Cogito v2.1 671B: 2W (20%)

← Claude Opus 4Deep Cogito: Cogito v2.1 671B →

Claude Opus 4 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,490vs—

Coding Elo

1,502vs—

SWE-bench

72.5%vs—

LiveBench

66.8%vs—

GPQA Diamond

80.4%vs—

Claude Opus 4: 5WDeep Cogito: Cogito v2.1 671B: 0W

Claude Opus 4 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs—

Time to first token

390 msvs—

Claude Opus 4: 2WDeep Cogito: Cogito v2.1 671B: 0W

Deep Cogito: Cogito v2.1 671B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$1.25/1M

Input price

$15/1Mvs$1.25/1M

Context window

200kvs128k

Claude Opus 4: 1WDeep Cogito: Cogito v2.1 671B: 2W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageClaude Opus 4 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

Deep Cogito: Cogito v2.1 671B

$73.75/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,490

EloHigh is better

—

Code Elo

High is better

1,502

Code EloHigh is better

—

LiveBench

High is better

66.8%

LiveBenchHigh is better

—

SWE-bench

High is better

72.5%

SWE-benchHigh is better

—

GPQA

High is better

80.4%

GPQAHigh is better

—

TTFT

Low is better

390 ms

TTFTLow is better

—

Speed

High is better

58 tok/s

SpeedHigh is better

—

In $

Low is better

$15.00 / 1M

In $Low is better

$1.25 / 1M+1100%

Out $

Low is better

$75.00 / 1M

Out $Low is better

$1.25 / 1M+5900%

Context

High is better

+56%200k

ContextHigh is better

128k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 96% with Deep Cogito: Cogito v2.1 671B

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Claude Opus 4$1,650.00 / mo

In: $525Out: $1,125

Deep Cogito: Cogito v2.1 671B$62.50 / mo

In: $43.75Out: $18.75

Estimated Cost Delta

Deep Cogito: Cogito v2.1 671B is estimated to save $1,587.50/month ($19,050/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Deep Cogito: Cogito v2.1 671B:Pick Deep Cogito: Cogito v2.1 671B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeep Cogito: Cogito v2.1 671B

Lower output list price ($1.25/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGClaude Opus 4

Larger window (200k).

Screenshots / visionClaude Opus 4

Claude Opus 4 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Deep Cogito: Cogito v2.1 671B	Lower output list price ($1.25/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Claude Opus 4	Larger window (200k).
Screenshots / vision	Claude Opus 4	Claude Opus 4 is the side marked multimodal in the catalog.

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LIVE

Anthropic

Claude Opus 4

Elo 1,490

LiveBench66.8%

SWE-bench72.5%

Speed58 tok/s

Output cost$75/1M

deepcogito

Deep Cogito: Cogito v2.1 671B

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$1.25/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4 or Deep Cogito: Cogito v2.1 671B?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Claude Opus 4 or Deep Cogito: Cogito v2.1 671B?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Deep Cogito: Cogito v2.1 671B output tokens are $1.25/1M versus $75/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4 or Deep Cogito: Cogito v2.1 671B?: We do not have TTFT for both models.
Which has the larger context window?: Claude Opus 4 accepts 200k tokens versus 128k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Claude Opus 4 and Deep Cogito: Cogito v2.1 671B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Opus 4 matchups →|All Deep Cogito: Cogito v2.1 671B matchups →

Claude Opus 4 vs Claude 3 Opus (previous opus)Claude Opus 4 vs Claude Opus 4.5 (next opus)Claude Sonnet 4.5 vs Claude Opus 4 Claude Sonnet 5 vs Claude Opus 4 Claude Opus 4.6 vs Claude Opus 4 Claude Opus 4.8 vs Claude Opus 4

Claude Opus 4 vs Deep Cogito: Cogito v2.1 671B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4 (8)vsDeep Cogito: Cogito v2.1 671B (2)

Claude Opus 4: 8W (80%)Overall: Claude Opus 4Deep Cogito: Cogito v2.1 671B: 2W (20%)

← Claude Opus 4Deep Cogito: Cogito v2.1 671B →

Claude Opus 4 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,490vs—

Coding Elo

1,502vs—

SWE-bench

72.5%vs—

LiveBench

66.8%vs—

GPQA Diamond

80.4%vs—

Claude Opus 4: 5WDeep Cogito: Cogito v2.1 671B: 0W

Claude Opus 4 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs—

Time to first token

390 msvs—

Claude Opus 4: 2WDeep Cogito: Cogito v2.1 671B: 0W

Deep Cogito: Cogito v2.1 671B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$1.25/1M

Input price

$15/1Mvs$1.25/1M

Context window

200kvs128k

Claude Opus 4: 1WDeep Cogito: Cogito v2.1 671B: 2W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeep Cogito: Cogito v2.1 671B

Lower output list price ($1.25/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGClaude Opus 4

Larger window (200k).

Screenshots / visionClaude Opus 4

Claude Opus 4 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Deep Cogito: Cogito v2.1 671B	Lower output list price ($1.25/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Claude Opus 4	Larger window (200k).
Screenshots / vision	Claude Opus 4	Claude Opus 4 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Opus 4 or Deep Cogito: Cogito v2.1 671B?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Claude Opus 4 or Deep Cogito: Cogito v2.1 671B?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Deep Cogito: Cogito v2.1 671B output tokens are $1.25/1M versus $75/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4 or Deep Cogito: Cogito v2.1 671B?

We do not have TTFT for both models.

Which has the larger context window?

Claude Opus 4 accepts 200k tokens versus 128k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Claude Opus 4 and Deep Cogito: Cogito v2.1 671B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.