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

DeepSeek: R1 Distill Llama 70B vs GPT-5.6 Sol benchmark

Name: DeepSeek: R1 Distill Llama 70B vs GPT-5.6 Sol AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, DeepSeek: R1 Distill Llama 70B is more budget-friendly at $0.8/1M 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

DeepSeek: R1 Distill Llama 70B holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench

GPT-5.6 SolTop code solve rate

ReasoningGPQA / Live

GPT-5.6 SolTop logical accuracy

Best Value$/1M Tok

DeepSeek: R1 Distill Llama 70BLowest API billing cost

Speed / TokTok/Sec

GPT-5.6 SolFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

DeepSeek: R1 Distill Llama 70B (2)GPT-5.6 Sol (1)

DeepSeek: R1 Distill Llama 70B

2 of 3 Wins

✓Input price✓Output price

GPT-5.6 Sol

1 of 3 Wins

✓Context window

DeepSeek

Leads 2 of 3

DeepSeek: R1 Distill Llama 70B

Auto-discovered from OpenRouter (deepseek/deepseek-r1-distill-llama-70b). Preview until a second source matches.

In: $0.8 · Out: $0.8/1M

OpenAI

Leads 1 of 3

GPT-5.6 Sol

OpenAI 5.6 flagship tier. Official API $5/$30 per 1M tokens (OpenAI pricing, Jul 30 2026 update left Sol unchanged).

Elo 1,608In: $5 · Out: $30/1M

GPT-5.6 Sol Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay

270 ms

Standard

CoT Tokens

~1,500

Internal reasoning

Cost / 1k

$56.50

4.9× base bill

Accuracy Boost

+4.5%

STEM & Logic

Top Rival Showdowns for DeepSeek: R1 Distill Llama 70B

All Matchups

Compare vs:vs Claude Opus 4.5 vs GPT-5 vs Gemini 3 Pro vs Grok 4.6 vs Qwen 3 Max

Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderDeepSeek: R1 Distill Llama 70B Wins

DeepSeek: R1 Distill Llama 70B

$0.7999999999999999 / 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: R1 Distill Llama 70B (2)vsGPT-5.6 Sol (8)

DeepSeek: R1 Distill Llama 70B: 2W (20%)GPT-5.6 Sol: 8W (80%)

← DeepSeek: R1 Distill Llama 70BGPT-5.6 Sol →

🏆GPT-5.6 Sol Leads(5/5)

Intelligence & Reasoning

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

Benchmark

DeepSeek: R1 Distill Llama 70BvsGPT-5.6 Sol

Preference Elo

—vs1,608

Coding Elo

—vs1,602

SWE-bench

—vs77.6%

LiveBench

—vs73.9%

GPQA Diamond

—vs86.8%

DeepSeek: R1 Distill Llama 70B: 0WGPT-5.6 Sol: 5W

🏆GPT-5.6 Sol Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

DeepSeek: R1 Distill Llama 70BvsGPT-5.6 Sol

Output speed

—vs84 tok/s

Time to first token

—vs270 ms

DeepSeek: R1 Distill Llama 70B: 0WGPT-5.6 Sol: 2W

🏆DeepSeek: R1 Distill Llama 70B Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

DeepSeek: R1 Distill Llama 70BvsGPT-5.6 Sol

Output price

$0.8/1Mvs$30/1M+$29.2/1M

Input price

$0.8/1Mvs$5/1M+$4.2/1M

Context window

8kvs1.1M+1M

DeepSeek: R1 Distill Llama 70B: 2WGPT-5.6 Sol: 1W

Side-by-Side Benchmark Matrix

DeepSeek: R1 Distill Llama 70BGPT-5.6 Sol

Preference Elo

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol1,608

Coding Elo

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol1,602

LiveBench

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol73.9%

SWE-bench

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol77.6%

GPQA Diamond

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol86.8%

Time to first token

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol270 ms

Output speed

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol84 tok/s

Input priceDeepSeek: R1 Distill Llama 70B +$4.2/1M

DeepSeek: R1 Distill Llama 70B$0.8/1M

GPT-5.6 Sol$5/1M

Output priceDeepSeek: R1 Distill Llama 70B +$29.2/1M

DeepSeek: R1 Distill Llama 70B$0.8/1M

GPT-5.6 Sol$30/1M

Context windowGPT-5.6 Sol +1M

DeepSeek: R1 Distill Llama 70B8k

GPT-5.6 Sol1.1M

Benchmark	DeepSeek: R1 Distill Llama 70B	GPT-5.6 Sol	Advantage Delta
Preference Elo	—	1,608 lmarena · Aug 16, 2026	—
Coding Elo	—	1,602 lmarena · Aug 16, 2026	—
LiveBench	—	73.9% livebench · Aug 16, 2026	—
SWE-bench	—	77.6% swebench · Aug 16, 2026	—
GPQA Diamond	—	86.8% seed-bootstrap · Aug 16, 2026	—
Time to first token	—	270 ms seed-bootstrap · Aug 16, 2026	—
Output speed	—	84 tok/s seed-bootstrap · Aug 16, 2026	—
Input price	$0.8/1M openrouter · Aug 17, 2026	$5/1M openrouter · Aug 17, 2026	+$4.2/1M
Output price	$0.8/1M openrouter · Aug 17, 2026	$30/1M openrouter · Aug 17, 2026	+$29.2/1M
Context window	8k openrouter · Aug 17, 2026	1.1M openrouter · Aug 17, 2026	+1M

Workload Cost & Savings Calculator

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

Save 94% with DeepSeek: R1 Distill Llama 70B

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 Distill Llama 70B$40.00 / mo

In: $28Out: $12

GPT-5.6 Sol$625.00 / mo

In: $175Out: $450

Estimated Cost Delta

DeepSeek: R1 Distill Llama 70B is estimated to save $585.00/month ($7,020/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
DeepSeek: R1 Distill Llama 70B:Pick DeepSeek: R1 Distill Llama 70B when you are optimizing output cost.
2
GPT-5.6 Sol:Pick GPT-5.6 Sol for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek: R1 Distill Llama 70B

Lower output list price ($0.8/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5.6 Sol

Larger window (1.1M).

Screenshots / visionGPT-5.6 Sol

GPT-5.6 Sol 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	DeepSeek: R1 Distill Llama 70B	Lower output list price ($0.8/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-5.6 Sol	Larger window (1.1M).
Screenshots / vision	GPT-5.6 Sol	GPT-5.6 Sol is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

compareAug 12, 2026

Grok vs ChatGPT: price and Elo, not a personality contest

Brand hub remaps to top xAI vs top OpenAI. After Aug 12 that is Grok 4.6 vs Sol.

compareJul 24, 2026

Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

Not a frozen 2025 article. Today that is usually Opus 5 vs GPT-5.6 Sol. Dated cells, not a brand fight.

compareJul 16, 2026

Gemini vs GPT: long context versus the OpenAI flagship invoice

Hub remaps to top Google vs top OpenAI Elo. Usually 3.6 Pro vs Sol. Window vs price is the plot.

launchJul 9, 2026

GPT-5.6 Sol: OpenAI’s $5/$30 flagship tier on this leaderboard

Jul 9 2026 family; Jul 30 price update left Sol unchanged. This is the GPT side of Claude vs GPT.

Cast Your Matchup Vote

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Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

DeepSeek

DeepSeek: R1 Distill Llama 70B

Elo n/a

SWE-bench—

Speed (tok/s)8k

Input / 1M Tokens$0.8/1M

Output / 1M Tokens$0.8/1M

OpenAI

GPT-5.6 Sol

Elo 1,608

SWE-bench77.6%

Speed (tok/s)84 tok/s

Input / 1M Tokens$5/1M

Output / 1M Tokens$30/1M

Frequently Asked Questions

Which is better overall, DeepSeek: R1 Distill Llama 70B or GPT-5.6 Sol?: 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: R1 Distill Llama 70B or GPT-5.6 Sol?: 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: R1 Distill Llama 70B output tokens are $0.8/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek: R1 Distill Llama 70B or GPT-5.6 Sol?: We do not have TTFT for both models.
Which has the larger context window?: GPT-5.6 Sol accepts 1.1M tokens versus 8k.
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. DeepSeek: R1 Distill Llama 70B and GPT-5.6 Sol Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DeepSeek: R1 Distill Llama 70B matchups →|All GPT-5.6 Sol matchups →

GPT-5.6 Sol vs GPT-5 (previous gpt-flagship)GPT-4.5 Orion vs GPT-5.6 Sol GPT-5.6 Terra vs GPT-5.6 Sol DeepSeek V4 Pro vs GPT-5.6 Sol DeepSeek V4 Flash vs GPT-5.6 Sol GPT-5 mini vs GPT-5.6 Sol

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: R1 Distill Llama 70BGPT-5.6 Sol

Preference Elo

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol1,608

Coding Elo

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol1,602

LiveBench

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol73.9%

SWE-bench

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol77.6%

GPQA Diamond

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol86.8%

Time to first token

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol270 ms

Output speed

DeepSeek: R1 Distill Llama 70B—

GPT-5.6 Sol84 tok/s

Input priceDeepSeek: R1 Distill Llama 70B +$4.2/1M

DeepSeek: R1 Distill Llama 70B$0.8/1M

GPT-5.6 Sol$5/1M

Output priceDeepSeek: R1 Distill Llama 70B +$29.2/1M

DeepSeek: R1 Distill Llama 70B$0.8/1M

GPT-5.6 Sol$30/1M

Context windowGPT-5.6 Sol +1M

DeepSeek: R1 Distill Llama 70B8k

GPT-5.6 Sol1.1M

Benchmark

DeepSeek: R1 Distill Llama 70B

GPT-5.6 Sol

Advantage Delta

Preference Elo

—

1,608

lmarena · Aug 16, 2026

—

Coding Elo

—

1,602

lmarena · Aug 16, 2026

—

LiveBench

—

73.9%

livebench · Aug 16, 2026

—

SWE-bench

—

77.6%

swebench · Aug 16, 2026

—

GPQA Diamond

—

86.8%

seed-bootstrap · Aug 16, 2026

—

Time to first token

—

270 ms

seed-bootstrap · Aug 16, 2026

—

Output speed

—

84 tok/s

seed-bootstrap · Aug 16, 2026

—

Input price

$0.8/1M

openrouter · Aug 17, 2026

$5/1M

openrouter · Aug 17, 2026

+$4.2/1M

Output price

$0.8/1M

openrouter · Aug 17, 2026

$30/1M

openrouter · Aug 17, 2026

+$29.2/1M

Context window

openrouter · Aug 17, 2026

1.1M

openrouter · Aug 17, 2026

+1M

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek: R1 Distill Llama 70B

Lower output list price ($0.8/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5.6 Sol

Larger window (1.1M).

Screenshots / visionGPT-5.6 Sol

GPT-5.6 Sol 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	DeepSeek: R1 Distill Llama 70B	Lower output list price ($0.8/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-5.6 Sol	Larger window (1.1M).
Screenshots / vision	GPT-5.6 Sol	GPT-5.6 Sol is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek: R1 Distill Llama 70B or GPT-5.6 Sol?

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: R1 Distill Llama 70B or GPT-5.6 Sol?

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: R1 Distill Llama 70B output tokens are $0.8/1M versus $30/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek: R1 Distill Llama 70B or GPT-5.6 Sol?

We do not have TTFT for both models.

Which has the larger context window?

GPT-5.6 Sol accepts 1.1M tokens versus 8k.

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. DeepSeek: R1 Distill Llama 70B and GPT-5.6 Sol Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

DeepSeek: R1 Distill Llama 70B holds empirical advantage (2 of 3 metrics)

Verified Advantage Breakdown

GPT-5.6 Sol Thinking Depth & Cost Scaler

No shared data

No shared data

DeepSeek: R1 Distill Llama 70B

Capability Percentiles

Leaders Matchup Capability Radar

Overall Matchup Breakdown

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Side-by-Side Benchmark Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Grok vs ChatGPT: price and Elo, not a personality contest

Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

Gemini vs GPT: long context versus the OpenAI flagship invoice

GPT-5.6 Sol: OpenAI’s $5/$30 flagship tier on this leaderboard

Cast Your Matchup Vote

Community Discussions (0)

Social Share Card Preview

CompareLLM AI Matrix

DeepSeek: R1 Distill Llama 70B

GPT-5.6 Sol

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

DeepSeek: R1 Distill Llama 70B holds empirical advantage (2 of 3 metrics)

Verified Advantage Breakdown

GPT-5.6 Sol Thinking Depth & Cost Scaler

No shared data

No shared data

DeepSeek: R1 Distill Llama 70B

Capability Percentiles

Leaders Matchup Capability Radar

Overall Matchup Breakdown

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Side-by-Side Benchmark Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Grok vs ChatGPT: price and Elo, not a personality contest

Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

Gemini vs GPT: long context versus the OpenAI flagship invoice

GPT-5.6 Sol: OpenAI’s $5/$30 flagship tier on this leaderboard

Cast Your Matchup Vote

Community Discussions (0)

Social Share Card Preview

CompareLLM AI Matrix

DeepSeek: R1 Distill Llama 70B

GPT-5.6 Sol

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons