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  3. Deep Cogito: Cogito v2.1 671B vs DeepSeek V3

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

Deep Cogito: Cogito v2.1 671B vs DeepSeek V3 benchmark

In this head-to-head showdown, DeepSeek V3 is more budget-friendly at $1.029/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose Deep Cogito: Cogito v2.1 671B if your priority is peak reasoning, complex code generation, and top preference Elo. Choose DeepSeek V3 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

DeepSeek V3 holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
DeepSeek V3Top code solve rate
ReasoningGPQA / Live
DeepSeek V3Top logical accuracy
Best Value$/1M Tok
DeepSeek V3Lowest API billing cost
Speed / TokTok/Sec
DeepSeek V3Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Deep Cogito: Cogito v2.1 671B (0)DeepSeek V3 (3)
Deep Cogito: Cogito v2.1 671B
0 of 3 Wins
Competitive baseline across remaining benchmarks
DeepSeek V3
3 of 3 Wins
✓Input price✓Output price✓Context window
deepcogito
Deep Cogito: Cogito v2.1 671B

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

In: $1.25 · Out: $1.25/1M
DeepSeek
Leads 3 of 3
DeepSeek V3

Prior DeepSeek flagship. Baseline for v3 vs v4.

Elo 1,310In: $0.257 · Out: $1.029/1M
Top Rival Showdowns for Deep Cogito: Cogito v2.1 671B
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderDeepSeek V3 Wins

DeepSeek V3

$1.0287 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Deep Cogito: Cogito v2.1 671B (0)vsDeepSeek V3 (9)
Deep Cogito: Cogito v2.1 671B: 0W (0%)Overall: DeepSeek V3DeepSeek V3: 9W (100%)
← Deep Cogito: Cogito v2.1 671BDeepSeek V3 →
🏆DeepSeek V3 Leads(4/5)

Intelligence & Reasoning

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

Benchmark
Deep Cogito: Cogito v2.1 671BvsDeepSeek V3
Preference Elo
—vs1,310
Coding Elo
—vs—
SWE-bench
—vs48.6%
LiveBench
—vs55.4%
GPQA Diamond
—vs59.1%
Deep Cogito: Cogito v2.1 671B: 0WDeepSeek V3: 4W
🏆DeepSeek V3 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Deep Cogito: Cogito v2.1 671BvsDeepSeek V3
Output speed
—vs66 tok/s
Time to first token
—vs380 ms
Deep Cogito: Cogito v2.1 671B: 0WDeepSeek V3: 2W
🏆DeepSeek V3 Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Deep Cogito: Cogito v2.1 671BvsDeepSeek V3
Output price
$1.25/1Mvs$1.029/1M+$0.221/1M
Input price
$1.25/1Mvs$0.257/1M+$0.993/1M
Context window
128kvs164k+36k
Deep Cogito: Cogito v2.1 671B: 0WDeepSeek V3: 3W

Side-by-Side Benchmark Matrix

Deep Cogito: Cogito v2.1 671BDeepSeek V3
Preference Elo
Deep Cogito: Cogito v2.1 671B—
DeepSeek V31,310
LiveBench
Deep Cogito: Cogito v2.1 671B—
DeepSeek V355.4%
SWE-bench
Deep Cogito: Cogito v2.1 671B—
DeepSeek V348.6%
GPQA Diamond
Deep Cogito: Cogito v2.1 671B—
DeepSeek V359.1%
Time to first token
Deep Cogito: Cogito v2.1 671B—
DeepSeek V3380 ms
Output speed
Deep Cogito: Cogito v2.1 671B—
DeepSeek V366 tok/s
Input priceDeepSeek V3 +$0.993/1M
Deep Cogito: Cogito v2.1 671B$1.25/1M
DeepSeek V3$0.257/1M
Output priceDeepSeek V3 +$0.221/1M
Deep Cogito: Cogito v2.1 671B$1.25/1M
DeepSeek V3$1.029/1M
Context windowDeepSeek V3 +36k
Deep Cogito: Cogito v2.1 671B128k
DeepSeek V3164k
BenchmarkDeep Cogito: Cogito v2.1 671BDeepSeek V3Advantage Delta
Preference Elo—
1,310
lmarena · Aug 17, 2026
—
LiveBench—
55.4%
livebench · Aug 17, 2026
—
SWE-bench—
48.6%
swebench · Aug 17, 2026
—
GPQA Diamond—
59.1%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
380 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
66 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$1.25/1M
openrouter · Aug 17, 2026
$0.257/1M
openrouter · Aug 17, 2026
+$0.993/1M
Output price
$1.25/1M
openrouter · Aug 17, 2026
$1.029/1M
openrouter · Aug 17, 2026
+$0.221/1M
Context window
128k
openrouter · Aug 17, 2026
164k
openrouter · Aug 17, 2026
+36k

Workload Cost & Savings Calculator

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

Save 61% with DeepSeek V3
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Deep Cogito: Cogito v2.1 671B$62.50 / mo
In: $43.75Out: $18.75
DeepSeek V3$24.44 / mo
In: $9.01Out: $15.43
Estimated Cost Delta

DeepSeek V3 is estimated to save $38.06/month ($457/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    DeepSeek V3:Pick DeepSeek V3 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek V3

Lower output list price ($1.029/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGDeepSeek V3

Larger window (164k).

Screenshots / visionDeepSeek V3

DeepSeek V3 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatDeepSeek V3Lower output list price ($1.029/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGDeepSeek V3Larger window (164k).
Screenshots / visionDeepSeek V3DeepSeek V3 is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
deepcogito

Deep Cogito: Cogito v2.1 671B

Elo n/a
SWE-bench—
Speed (tok/s)128k
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$1.25/1M
DeepSeek

DeepSeek V3

Elo 1,310
SWE-bench48.6%
Speed (tok/s)66 tok/s
Input / 1M Tokens$0.257/1M
Output / 1M Tokens$1.029/1M

Frequently Asked Questions

Which is better overall, Deep Cogito: Cogito v2.1 671B or DeepSeek V3?
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, Deep Cogito: Cogito v2.1 671B or DeepSeek V3?
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?
DeepSeek V3 output tokens are $1.029/1M versus $1.25/1M. Input prices and retry rates still move the real bill.
Which is faster, Deep Cogito: Cogito v2.1 671B or DeepSeek V3?
We do not have TTFT for both models.
Which has the larger context window?
DeepSeek V3 accepts 164k tokens versus 128k.
Can I self-host either model?
DeepSeek V3 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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. Deep Cogito: Cogito v2.1 671B and DeepSeek V3 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Deep Cogito: Cogito v2.1 671B matchups →|All DeepSeek V3 matchups →
DeepSeek V3 vs DeepSeek Coder V2 (previous deepseek)DeepSeek V3 vs DeepSeek R1 (next deepseek)DeepSeek V4 Pro vs DeepSeek V3DeepSeek V4 Flash vs DeepSeek V3Claude Opus 4.5 vs DeepSeek V3Claude Opus 4.6 vs DeepSeek V3