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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. DeepSeek R1 vs DeepSeek V4 Flash

Pairwise benchmark snapshot · Aug 16, 2026

DeepSeek R1 vs DeepSeek V4 Flash benchmark

This page compares DeepSeek R1 (DeepSeek) and DeepSeek V4 Flash (DeepSeek) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, DeepSeek V4 Flash is ahead by 132 points (1,490 vs 1,358; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, DeepSeek V4 Flash resolves 71.2% versus 65.2% (seed-bootstrap (Aug 16, 2026)). DeepSeek V4 Flash streams faster (142 tok/s) while DeepSeek V4 Flash is the cheaper output token ($0.28/1M). DeepSeek V4 Flash has the larger context window (1M 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.

Quick answer

DeepSeek R1 vs DeepSeek V4 Flash is a dated snapshot, not a lab score. DeepSeek V4 Flash leads preference Elo (1,490 vs 1,358). DeepSeek V4 Flash leads SWE-bench coding. DeepSeek V4 Flash is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
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DeepSeek

DeepSeek R1

Open-weights reasoning model trained with large-scale RL.

Elo 1,358$2.5/1M out

DeepSeek

DeepSeek V4 Flash

DeepSeek Jul 31 2026 price-performance SKU. Public listings put it near $0.14/$0.28 per 1M tokens.

Elo 1,490$0.28/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A
Model B
Quick vs:vs Claude Opus 4.5vs Claude Opus 4.6vs Claude Sonnet 4.5vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek R1 (0)vsDeepSeek V4 Flash (10)
DeepSeek R1: 0W (0%)Overall: DeepSeek V4 FlashDeepSeek V4 Flash: 10W (100%)
← DeepSeek R1DeepSeek V4 Flash →
DeepSeek V4 Flash (5/5)

Intelligence & Reasoning

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

Preference Elo
1,358vs1,490
Coding Elo
—vs1,516
SWE-bench
65.2%vs71.2%
LiveBench
59%vs67.8%
GPQA Diamond
79.8%vs81.6%
DeepSeek R1: 0WDeepSeek V4 Flash: 5W
DeepSeek V4 Flash (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
62 tok/svs142 tok/s
Time to first token
420 msvs165 ms
DeepSeek R1: 0WDeepSeek V4 Flash: 2W
DeepSeek V4 Flash (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$2.5/1Mvs$0.28/1M
Input price
$0.7/1Mvs$0.14/1M
Context window
64kvs1M
DeepSeek R1: 0WDeepSeek V4 Flash: 3W
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 AdvantageDeepSeek V4 Flash 6/6
Preference Elo

DeepSeek V4 Flash

132 pts advantage

Throughput Speed

DeepSeek V4 Flash

80 tok/s faster

Price Efficiency

DeepSeek V4 Flash

$2.22/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
1,358
EloHigh is better
1,490+10%
Code Elo
High is better
—
Code EloHigh is better
1,516
LiveBench
High is better
59%
LiveBenchHigh is better
67.8%+15%
SWE-bench
High is better
65.2%
SWE-benchHigh is better
71.2%+9%
GPQA
High is better
79.8%
GPQAHigh is better
81.6%+2%
TTFT
Low is better
420 ms
TTFTLow is better
165 ms+155%
Speed
High is better
62 tok/s
SpeedHigh is better
142 tok/s+129%
In $
Low is better
$0.7/1M
In $Low is better
$0.14/1M+400%
Out $
Low is better
$2.5/1M
Out $Low is better
$0.28/1M+793%
Context
High is better
64k
ContextHigh is better
1M+1538%
Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 85% with DeepSeek V4 Flash
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
DeepSeek R1$62.00 / mo
In: $24.50Out: $37.50
DeepSeek V4 Flash$9.10 / mo
In: $4.90Out: $4.20
Estimated Cost Delta

DeepSeek V4 Flash is estimated to save $52.90/month ($635/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    DeepSeek V4 Flash:Pick DeepSeek V4 Flash when repo-level coding accuracy is the constraint.
  • 2
    DeepSeek V4 Flash:Pick DeepSeek V4 Flash when time-to-first-token matters more than peak Elo.
  • 3
    DeepSeek V4 Flash:Pick DeepSeek V4 Flash for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsDeepSeek V4 Flash

Higher SWE-bench (71.2%).

High-volume chatDeepSeek V4 Flash

Lower output list price ($0.28/1M).

Voice / low-latency UIDeepSeek V4 Flash

Lower TTFT (165 ms).

Long-document RAGDeepSeek V4 Flash

Larger window (1M).

Screenshots / visionDeepSeek V4 Flash

DeepSeek V4 Flash is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsDeepSeek V4 FlashHigher SWE-bench (71.2%).
High-volume chatDeepSeek V4 FlashLower output list price ($0.28/1M).
Voice / low-latency UIDeepSeek V4 FlashLower TTFT (165 ms).
Long-document RAGDeepSeek V4 FlashLarger window (1M).
Screenshots / visionDeepSeek V4 FlashDeepSeek V4 Flash is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
priceJul 31, 2026

DeepSeek V4 Flash (Jul 31): the $0.14/$0.28 price-performance SKU

Public listings put Flash near $0.14/$0.28 per 1M. That is a batch SKU, not a chatbot crown.

launchJan 20, 2025

DeepSeek R1 stays as the open-weights RL baseline

Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
DeepSeek

DeepSeek R1

Elo 1,358
LiveBench59%
SWE-bench65.2%
Speed62 tok/s
Output cost$2.5/1M
DeepSeek

DeepSeek V4 Flash

Elo 1,490
LiveBench67.8%
SWE-bench71.2%
Speed142 tok/s
Output cost$0.28/1M

Frequently Asked Questions

Which is better overall, DeepSeek R1 or DeepSeek V4 Flash?
DeepSeek V4 Flash has the higher preference Elo in our latest snapshot (1,490). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek R1 or DeepSeek V4 Flash?
DeepSeek V4 Flash leads SWE-bench at 71.2% vs 65.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
DeepSeek V4 Flash output tokens are $0.28/1M versus $2.5/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek R1 or DeepSeek V4 Flash?
DeepSeek V4 Flash has the lower time-to-first-token (165 ms vs 420 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
DeepSeek V4 Flash accepts 1M tokens versus 64k.
Can I self-host either model?
Both DeepSeek R1 and DeepSeek V4 Flash are marked open-weights. Hosting cost is not in this table.
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. DeepSeek R1 and DeepSeek V4 Flash Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • price · Jul 31, 2026

    DeepSeek V4 Flash (Jul 31): the $0.14/$0.28 price-performance SKU

  • launch · Jan 20, 2025

    DeepSeek R1 stays as the open-weights RL baseline

Similar Head-to-Head Comparisons

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