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Every score has a dated snapshot.

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  3. DeepSeek: R1 Distill Llama 70B vs Qwen QwQ 32B

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

DeepSeek: R1 Distill Llama 70B vs Qwen QwQ 32B benchmark

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.

Executive Comparison Verdict

Bottom Line: Both DeepSeek: R1 Distill Llama 70B and Qwen QwQ 32B present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Verified Head-to-Head Advantage Breakdown

3 direct benchmark disciplines evaluated across capability, speed, and cost

DeepSeek: R1 Distill Llama 70B (1)Qwen QwQ 32B (2)
DeepSeek: R1 Distill Llama 70B
1 of 3 Wins
✓Output price
Qwen QwQ 32B
2 of 3 Wins
✓Input price✓Context window
DeepSeek
Leads 1 of 3 metrics
DeepSeek: R1 Distill Llama 70B

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

$0.7999999999999999/1M out
Alibaba
Leads 2 of 3 metrics
Qwen QwQ 32B

Alibaba specialized open reasoning model competing with frontier closed reasoning models.

QwQ ReasoningElo 1,495$1.2/1M out

Qwen QwQ 32B Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: High (Max QwQ CoT)

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.

Thinking Delay
960 ms
3× delay
Reasoning Depth
~7,200
Internal tokens
Cost / 1k Calls
$9.15
17.9× standard bill
Accuracy Boost
+11.8% accuracy
STEM & SWE-bench
Top Rival Showdowns for DeepSeek: R1 Distill Llama 70B
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs 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 Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile
Head-to-Head Comparison

Overall Matchup Breakdown

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

DeepSeek: R1 Distill Llama 70B (1)vsQwen QwQ 32B (9)
DeepSeek: R1 Distill Llama 70B: 1W (10%)Overall: Qwen QwQ 32BQwen QwQ 32B: 9W (90%)
← DeepSeek: R1 Distill Llama 70BQwen QwQ 32B →
🏆Qwen QwQ 32B(5/5)

Intelligence & Reasoning

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

Benchmark
DeepSeek: R1 Distill Llama 70BvsQwen QwQ 32B
Preference Elo
—vs1,495
Coding Elo
—vs1,520
SWE-bench
—vs67.5%
LiveBench
—vs68%
GPQA Diamond
—vs83.2%
DeepSeek: R1 Distill Llama 70B: 0WQwen QwQ 32B: 5W
🏆Qwen QwQ 32B(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
DeepSeek: R1 Distill Llama 70BvsQwen QwQ 32B
Output speed
—vs68 tok/s
Time to first token
—vs320 ms
DeepSeek: R1 Distill Llama 70B: 0WQwen QwQ 32B: 2W
🏆Qwen QwQ 32B(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
DeepSeek: R1 Distill Llama 70BvsQwen QwQ 32B
Output price
$0.8/1Mvs$1.2/1M+$0.4/1M
Input price
$0.8/1Mvs$0.3/1M+$0.5/1M
Context window
8kvs131k+123k
DeepSeek: R1 Distill Llama 70B: 1WQwen QwQ 32B: 2W

Side-by-Side Benchmark Matrix

Preference Elo
DeepSeek: R1 Distill Llama 70B—
Qwen QwQ 32B1,495
lmarena · Aug 17, 2026
Coding Elo
DeepSeek: R1 Distill Llama 70B—
Qwen QwQ 32B1,520
lmarena · Aug 17, 2026
LiveBench
DeepSeek: R1 Distill Llama 70B—
Qwen QwQ 32B68%
livebench · Aug 17, 2026
SWE-bench
DeepSeek: R1 Distill Llama 70B—
Qwen QwQ 32B67.5%
swebench · Aug 17, 2026
GPQA Diamond
DeepSeek: R1 Distill Llama 70B—
Qwen QwQ 32B83.2%
seed-bootstrap · Aug 1, 2026
Time to first token
DeepSeek: R1 Distill Llama 70B—
Qwen QwQ 32B320 ms
seed-bootstrap · Aug 1, 2026
Output speed
DeepSeek: R1 Distill Llama 70B—
Qwen QwQ 32B68 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.5/1M
DeepSeek: R1 Distill Llama 70B$0.8/1M
openrouter · Aug 17, 2026
Qwen QwQ 32B$0.3/1M
seed-bootstrap · Aug 1, 2026
Output price+$0.4/1M
DeepSeek: R1 Distill Llama 70B$0.8/1M
openrouter · Aug 17, 2026
Qwen QwQ 32B$1.2/1M
seed-bootstrap · Aug 1, 2026
Context window+123k
DeepSeek: R1 Distill Llama 70B8k
openrouter · Aug 17, 2026
Qwen QwQ 32B131k
seed-bootstrap · Aug 1, 2026
BenchmarkDeepSeek: R1 Distill Llama 70BQwen QwQ 32BAdvantage Delta
Preference Elo—
1,495
lmarena · Aug 17, 2026
—
Coding Elo—
1,520
lmarena · Aug 17, 2026
—
LiveBench—
68%
livebench · Aug 17, 2026
—
SWE-bench—
67.5%
swebench · Aug 17, 2026
—
GPQA Diamond—
83.2%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
320 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
68 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.8/1M
openrouter · Aug 17, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
+$0.5/1M
Output price
$0.8/1M
openrouter · Aug 17, 2026
$1.2/1M
seed-bootstrap · Aug 1, 2026
+$0.4/1M
Context window
8k
openrouter · Aug 17, 2026
131k
seed-bootstrap · Aug 1, 2026
+123k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 29% with Qwen QwQ 32B
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
Qwen QwQ 32B$28.50 / mo
In: $10.5Out: $18
Estimated Cost Delta

Qwen QwQ 32B is estimated to save $11.50/month ($138/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.

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 RAGQwen QwQ 32B

Larger window (131k).

Screenshots / visionQwen QwQ 32B

Qwen QwQ 32B is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatDeepSeek: R1 Distill Llama 70BLower output list price ($0.8/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGQwen QwQ 32BLarger window (131k).
Screenshots / visionQwen QwQ 32BQwen QwQ 32B is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
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
Alibaba

Qwen QwQ 32B

Elo 1,495
SWE-bench67.5%
Speed (tok/s)68 tok/s
Input / 1M Tokens$0.3/1M
Output / 1M Tokens$1.2/1M

Frequently Asked Questions

Which is better overall, DeepSeek: R1 Distill Llama 70B or Qwen QwQ 32B?
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 Qwen QwQ 32B?
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 $1.2/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek: R1 Distill Llama 70B or Qwen QwQ 32B?
We do not have TTFT for both models.
Which has the larger context window?
Qwen QwQ 32B accepts 131k tokens versus 8k.
Can I self-host either model?
Qwen QwQ 32B 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: R1 Distill Llama 70B and Qwen QwQ 32B 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 Qwen QwQ 32B matchups →
Qwen QwQ 32B vs Qwen3 235B (previous qwen)DeepSeek V4 Pro vs Qwen QwQ 32BQwen 3 Max vs Qwen QwQ 32BDeepSeek V4 Flash vs Qwen QwQ 32BDeepSeek R1 vs Qwen QwQ 32BQwen 2.5 Plus vs Qwen QwQ 32B