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Every score has a dated snapshot.

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  2. Comparisons
  3. DeepSeek R1 vs GLM-5.3

Pairwise benchmark snapshot · Aug 16, 2026

DeepSeek R1 vs GLM-5.3 benchmark

In this head-to-head showdown, GLM-5.3 delivers higher overall intelligence and human-preferred responses (Elo 1,558 vs 1,358), while GLM-5.3 leads in SWE-bench software engineering benchmarks (76.4%), while GLM-5.3 is more budget-friendly at $1.8/1M 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: GLM-5.3 holds the advantage over DeepSeek R1 in overall benchmark performance and human evaluation rankings. Choose GLM-5.3 for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Verified Head-to-Head Advantage Breakdown

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

DeepSeek R1 (0)GLM-5.3 (9)
DeepSeek R1
0 of 9 Wins
Competitive baseline across remaining benchmarks
GLM-5.3
9 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Input price✓Output price✓Context window
DeepSeek
DeepSeek R1

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

Elo 1,358$2.19/1M out
Zhipu
Leads 9 of 9 metrics
GLM-5.3

Z.ai Aug 14 2026 post-train of the GLM-5.2 744B base. Coding-plan live; open weights promised after a two-week safety review (z.ai/blog/glm-5.3).

Elo 1,558$1.8/1M out

DeepSeek R1 Thinking Depth & Cost Scaler

Model A

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Full RL 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
420 ms
Standard speed
Reasoning Depth
~2,800
Internal tokens
Cost / 1k Calls
$7.06
7.6× standard bill
Accuracy Boost
+6.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for DeepSeek R1
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs Qwen 3 Max
Preference LeaderGLM-5.3 Wins

GLM-5.3

Δ 200 Arena Elo pts

Throughput LeaderGLM-5.3 Wins

GLM-5.3

90 tok/s

Value per Dollar LeaderGLM-5.3 Wins

GLM-5.3

$1.8 / 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
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

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

DeepSeek R1 (0)vsGLM-5.3 (10)
DeepSeek R1: 0W (0%)Overall: GLM-5.3GLM-5.3: 10W (100%)
← DeepSeek R1GLM-5.3 →
🏆GLM-5.3(5/5)

Intelligence & Reasoning

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

Benchmark
DeepSeek R1vsGLM-5.3
Preference Elo
1,358vs1,558+200
Coding Elo
—vs1,586
SWE-bench
65.2%vs76.4%+11.2%
LiveBench
59%vs70.8%+11.8%
GPQA Diamond
79.8%vs83.2%+3.4%
DeepSeek R1: 0WGLM-5.3: 5W
🏆GLM-5.3(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
DeepSeek R1vsGLM-5.3
Output speed
62 tok/svs90 tok/s+28 tok/s
Time to first token
420 msvs255 ms+165 ms
DeepSeek R1: 0WGLM-5.3: 2W
🏆GLM-5.3(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
DeepSeek R1vsGLM-5.3
Output price
$2.19/1Mvs$1.8/1M+$0.39/1M
Input price
$0.55/1Mvs$0.5/1M+$0.05/1M
Context window
128kvs200k+72k
DeepSeek R1: 0WGLM-5.3: 3W

Side-by-Side Benchmark Matrix

Preference Elo+200
DeepSeek R11,358
seed-bootstrap · Aug 1, 2026
GLM-5.31,558
seed-bootstrap · Aug 16, 2026
Coding Elo
DeepSeek R1—
GLM-5.31,586
seed-bootstrap · Aug 16, 2026
LiveBench+11.8%
DeepSeek R159%
seed-bootstrap · Aug 1, 2026
GLM-5.370.8%
seed-bootstrap · Aug 16, 2026
SWE-bench+11.2%
DeepSeek R165.2%
seed-bootstrap · Aug 1, 2026
GLM-5.376.4%
seed-bootstrap · Aug 16, 2026
GPQA Diamond+3.4%
DeepSeek R179.8%
seed-bootstrap · Aug 1, 2026
GLM-5.383.2%
seed-bootstrap · Aug 16, 2026
Time to first token+165 ms
DeepSeek R1420 ms
seed-bootstrap · Aug 1, 2026
GLM-5.3255 ms
seed-bootstrap · Aug 16, 2026
Output speed+28 tok/s
DeepSeek R162 tok/s
seed-bootstrap · Aug 1, 2026
GLM-5.390 tok/s
seed-bootstrap · Aug 16, 2026
Input price+$0.05/1M
DeepSeek R1$0.55/1M
seed-bootstrap · Aug 1, 2026
GLM-5.3$0.5/1M
seed-bootstrap · Aug 16, 2026
Output price+$0.39/1M
DeepSeek R1$2.19/1M
seed-bootstrap · Aug 1, 2026
GLM-5.3$1.8/1M
seed-bootstrap · Aug 16, 2026
Context window+72k
DeepSeek R1128k
seed-bootstrap · Aug 1, 2026
GLM-5.3200k
seed-bootstrap · Aug 16, 2026
BenchmarkDeepSeek R1GLM-5.3Advantage Delta
Preference Elo
1,358
seed-bootstrap · Aug 1, 2026
1,558
seed-bootstrap · Aug 16, 2026
+200
Coding Elo—
1,586
seed-bootstrap · Aug 16, 2026
—
LiveBench
59%
seed-bootstrap · Aug 1, 2026
70.8%
seed-bootstrap · Aug 16, 2026
+11.8%
SWE-bench
65.2%
seed-bootstrap · Aug 1, 2026
76.4%
seed-bootstrap · Aug 16, 2026
+11.2%
GPQA Diamond
79.8%
seed-bootstrap · Aug 1, 2026
83.2%
seed-bootstrap · Aug 16, 2026
+3.4%
Time to first token
420 ms
seed-bootstrap · Aug 1, 2026
255 ms
seed-bootstrap · Aug 16, 2026
+165 ms
Output speed
62 tok/s
seed-bootstrap · Aug 1, 2026
90 tok/s
seed-bootstrap · Aug 16, 2026
+28 tok/s
Input price
$0.55/1M
seed-bootstrap · Aug 1, 2026
$0.5/1M
seed-bootstrap · Aug 16, 2026
+$0.05/1M
Output price
$2.19/1M
seed-bootstrap · Aug 1, 2026
$1.8/1M
seed-bootstrap · Aug 16, 2026
+$0.39/1M
Context window
128k
seed-bootstrap · Aug 1, 2026
200k
seed-bootstrap · Aug 16, 2026
+72k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 15% with GLM-5.3
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$52.10 / mo
In: $19.25Out: $32.85
GLM-5.3$44.50 / mo
In: $17.5Out: $27
Estimated Cost Delta

GLM-5.3 is estimated to save $7.60/month ($91/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GLM-5.3:Pick GLM-5.3 when repo-level coding accuracy is the constraint.
  • 2
    GLM-5.3:Pick GLM-5.3 when time-to-first-token matters more than peak Elo.
  • 3
    GLM-5.3:Pick GLM-5.3 as the default general assistant.

Recommended Workload Routing

Repo / coding agentsGLM-5.3

Higher SWE-bench (76.4%).

High-volume chatGLM-5.3

Lower output list price ($1.8/1M).

Voice / low-latency UIGLM-5.3

Lower TTFT (255 ms).

Long-document RAGGLM-5.3

Larger window (200k).

Screenshots / visionGLM-5.3

GLM-5.3 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGLM-5.3Higher SWE-bench (76.4%).
High-volume chatGLM-5.3Lower output list price ($1.8/1M).
Voice / low-latency UIGLM-5.3Lower TTFT (255 ms).
Long-document RAGGLM-5.3Larger window (200k).
Screenshots / visionGLM-5.3GLM-5.3 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchAug 14, 2026

GLM-5.3 (Aug 14): Z.ai post-train of the 5.2 744B base

Coding-plan live; open weights promised after a two-week safety review. Newest Zhipu row.

launchJun 18, 2026

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Strong Chinese/English coding. 5.3 is the new row; 5.2 stays so the delta is visible.

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.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
DeepSeek

DeepSeek R1

Elo 1,358
SWE-bench65.2%
Speed (tok/s)62 tok/s
Input / 1M Tokens$0.55/1M
Output / 1M Tokens$2.19/1M
Zhipu

GLM-5.3

Elo 1,558
SWE-bench76.4%
Speed (tok/s)90 tok/s
Input / 1M Tokens$0.5/1M
Output / 1M Tokens$1.8/1M

Frequently Asked Questions

Which is better overall, DeepSeek R1 or GLM-5.3?
GLM-5.3 has the higher preference Elo in our latest snapshot (1,558). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek R1 or GLM-5.3?
GLM-5.3 leads SWE-bench at 76.4% vs 65.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
GLM-5.3 output tokens are $1.8/1M versus $2.19/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek R1 or GLM-5.3?
GLM-5.3 has the lower time-to-first-token (255 ms vs 420 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
GLM-5.3 accepts 200k tokens versus 128k.
Can I self-host either model?
DeepSeek R1 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 and GLM-5.3 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Aug 14, 2026

    GLM-5.3 (Aug 14): Z.ai post-train of the 5.2 744B base

  • launch · Jun 18, 2026

    GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

  • launch · Jan 20, 2025

    DeepSeek R1 stays as the open-weights RL baseline

Similar Head-to-Head Comparisons

All DeepSeek R1 matchups →|All GLM-5.3 matchups →
DeepSeek R1 vs DeepSeek V3 (previous deepseek)DeepSeek R1 vs DeepSeek V4 Pro (next deepseek)GLM-5.3 vs GLM-5V Turbo (previous glm)DeepSeek V4 Flash vs GLM-5.3GLM-5.2 vs GLM-5.3DeepSeek V4 Pro vs GLM-5.3