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

DeepSeek V3 vs Meta: Llama Guard 4 12B benchmark

Name: DeepSeek V3 vs Meta: Llama Guard 4 12B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Meta: Llama Guard 4 12B is more budget-friendly at $0.18/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Meta: Llama Guard 4 12B 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

Meta: Llama Guard 4 12BLowest API billing cost

Speed / TokTok/Sec

DeepSeek V3Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

DeepSeek V3 (0)Meta: Llama Guard 4 12B (3)

DeepSeek V3

0 of 3 Wins

Competitive baseline across remaining benchmarks

Meta: Llama Guard 4 12B

3 of 3 Wins

✓Input price✓Output price✓Context window

DeepSeek

DeepSeek V3

Prior DeepSeek flagship. Baseline for v3 vs v4.

Elo 1,310In: $0.257 · Out: $1.029/1M

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderMeta: Llama Guard 4 12B Wins

Meta: Llama Guard 4 12B

$0.18 / 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.

DeepSeek V3 (6)vsMeta: Llama Guard 4 12B (3)

DeepSeek V3: 6W (67%)Meta: Llama Guard 4 12B: 3W (33%)

← DeepSeek V3Meta: Llama Guard 4 12B →

🏆DeepSeek V3 Leads(4/5)

Intelligence & Reasoning

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

Benchmark

DeepSeek V3vsMeta: Llama Guard 4 12B

Preference Elo

1,310vs—

Coding Elo

—vs—

SWE-bench

48.6%vs—

LiveBench

55.4%vs—

GPQA Diamond

59.1%vs—

DeepSeek V3: 4WMeta: Llama Guard 4 12B: 0W

🏆DeepSeek V3 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

DeepSeek V3vsMeta: Llama Guard 4 12B

Output speed

66 tok/svs—

Time to first token

380 msvs—

DeepSeek V3: 2WMeta: Llama Guard 4 12B: 0W

🏆Meta: Llama Guard 4 12B Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

DeepSeek V3vsMeta: Llama Guard 4 12B

Output price

$1.029/1Mvs$0.18/1M+$0.849/1M

Input price

$0.257/1Mvs$0.18/1M+$0.077/1M

Context window

164kvs1M+885k

DeepSeek V3: 0WMeta: Llama Guard 4 12B: 3W

Side-by-Side Benchmark Matrix

DeepSeek V3Meta: Llama Guard 4 12B

Preference Elo

DeepSeek V31,310

Meta: Llama Guard 4 12B—

LiveBench

DeepSeek V355.4%

Meta: Llama Guard 4 12B—

SWE-bench

DeepSeek V348.6%

Meta: Llama Guard 4 12B—

GPQA Diamond

DeepSeek V359.1%

Meta: Llama Guard 4 12B—

Time to first token

DeepSeek V3380 ms

Meta: Llama Guard 4 12B—

Output speed

DeepSeek V366 tok/s

Meta: Llama Guard 4 12B—

Input priceMeta: Llama Guard 4 12B +$0.077/1M

DeepSeek V3$0.257/1M

Meta: Llama Guard 4 12B$0.18/1M

Output priceMeta: Llama Guard 4 12B +$0.849/1M

DeepSeek V3$1.029/1M

Meta: Llama Guard 4 12B$0.18/1M

Context windowMeta: Llama Guard 4 12B +885k

DeepSeek V3164k

Meta: Llama Guard 4 12B1M

Benchmark	DeepSeek V3	Meta: Llama Guard 4 12B	Advantage 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	$0.257/1M openrouter · Aug 17, 2026	$0.18/1M openrouter · Aug 17, 2026	+$0.077/1M
Output price	$1.029/1M openrouter · Aug 17, 2026	$0.18/1M openrouter · Aug 17, 2026	+$0.849/1M
Context window	164k openrouter · Aug 17, 2026	1M openrouter · Aug 17, 2026	+885k

Workload Cost & Savings Calculator

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

Save 63% with Meta: Llama Guard 4 12B

Monthly Volume50M tokens/mo

Quick Presets:

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

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

DeepSeek V3$24.44 / mo

In: $9.01Out: $15.43

Meta: Llama Guard 4 12B$9.00 / mo

In: $6.3Out: $2.7

Estimated Cost Delta

Meta: Llama Guard 4 12B is estimated to save $15.44/month ($185/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Meta: Llama Guard 4 12B:Pick Meta: Llama Guard 4 12B when you are optimizing output cost.
2
Meta: Llama Guard 4 12B:Pick Meta: Llama Guard 4 12B for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMeta: Llama Guard 4 12B

Lower output list price ($0.18/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMeta: Llama Guard 4 12B

Larger window (1M).

Screenshots / visionMeta: Llama Guard 4 12B

Meta: Llama Guard 4 12B 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	Meta: Llama Guard 4 12B	Lower output list price ($0.18/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Meta: Llama Guard 4 12B	Larger window (1M).
Screenshots / vision	Meta: Llama Guard 4 12B	Meta: Llama Guard 4 12B is the side marked multimodal in the catalog.

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

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

Meta: Llama Guard 4 12B

Elo n/a

SWE-bench—

Speed (tok/s)1M

Input / 1M Tokens$0.18/1M

Output / 1M Tokens$0.18/1M

Frequently Asked Questions

Which is better overall, DeepSeek V3 or Meta: Llama Guard 4 12B?: 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, DeepSeek V3 or Meta: Llama Guard 4 12B?: 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?: Meta: Llama Guard 4 12B output tokens are $0.18/1M versus $1.029/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek V3 or Meta: Llama Guard 4 12B?: We do not have TTFT for both models.
Which has the larger context window?: Meta: Llama Guard 4 12B accepts 1M tokens versus 164k.
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. DeepSeek V3 and Meta: Llama Guard 4 12B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DeepSeek V3 matchups →|All Meta: Llama Guard 4 12B matchups →

DeepSeek V3 vs DeepSeek Coder V2 (previous deepseek)DeepSeek V3 vs DeepSeek R1 (next deepseek)Llama 4 Maverick vs DeepSeek V3 DeepSeek V4 Pro vs DeepSeek V3 DeepSeek V4 Flash vs DeepSeek V3 Llama 3.3 70B vs DeepSeek V3

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

Side-by-Side Benchmark Matrix

DeepSeek V3Meta: Llama Guard 4 12B

Preference Elo

DeepSeek V31,310

Meta: Llama Guard 4 12B—

LiveBench

DeepSeek V355.4%

Meta: Llama Guard 4 12B—

SWE-bench

DeepSeek V348.6%

Meta: Llama Guard 4 12B—

GPQA Diamond

DeepSeek V359.1%

Meta: Llama Guard 4 12B—

Time to first token

DeepSeek V3380 ms

Meta: Llama Guard 4 12B—

Output speed

DeepSeek V366 tok/s

Meta: Llama Guard 4 12B—

Input priceMeta: Llama Guard 4 12B +$0.077/1M

DeepSeek V3$0.257/1M

Meta: Llama Guard 4 12B$0.18/1M

Output priceMeta: Llama Guard 4 12B +$0.849/1M

DeepSeek V3$1.029/1M

Meta: Llama Guard 4 12B$0.18/1M

Context windowMeta: Llama Guard 4 12B +885k

DeepSeek V3164k

Meta: Llama Guard 4 12B1M

Benchmark

DeepSeek V3

Meta: Llama Guard 4 12B

Advantage 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

$0.257/1M

openrouter · Aug 17, 2026

$0.18/1M

openrouter · Aug 17, 2026

+$0.077/1M

Output price

$1.029/1M

openrouter · Aug 17, 2026

$0.18/1M

openrouter · Aug 17, 2026

+$0.849/1M

Context window

164k

openrouter · Aug 17, 2026

+885k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMeta: Llama Guard 4 12B

Lower output list price ($0.18/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMeta: Llama Guard 4 12B

Larger window (1M).

Screenshots / visionMeta: Llama Guard 4 12B

Meta: Llama Guard 4 12B 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	Meta: Llama Guard 4 12B	Lower output list price ($0.18/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Meta: Llama Guard 4 12B	Larger window (1M).
Screenshots / vision	Meta: Llama Guard 4 12B	Meta: Llama Guard 4 12B is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek V3 or Meta: Llama Guard 4 12B?

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, DeepSeek V3 or Meta: Llama Guard 4 12B?

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?

Meta: Llama Guard 4 12B output tokens are $0.18/1M versus $1.029/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek V3 or Meta: Llama Guard 4 12B?

We do not have TTFT for both models.

Which has the larger context window?

Meta: Llama Guard 4 12B accepts 1M tokens versus 164k.

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. DeepSeek V3 and Meta: Llama Guard 4 12B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.