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  3. Anthropic: Claude Sonnet 4.6 (batch) vs GLM-5.3

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

Anthropic: Claude Sonnet 4.6 (batch) vs GLM-5.3 benchmark

In this head-to-head showdown, 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: Choose Anthropic: Claude Sonnet 4.6 (batch) if your priority is peak reasoning, complex code generation, and top preference Elo. Choose GLM-5.3 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

GLM-5.3 holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
GLM-5.3Top code solve rate
ReasoningGPQA / Live
GLM-5.3Top logical accuracy
Best Value$/1M Tok
GLM-5.3Lowest API billing cost
Speed / TokTok/Sec
GLM-5.3Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Anthropic: Claude Sonnet 4.6 (batch) (1)GLM-5.3 (2)
Anthropic: Claude Sonnet 4.6 (batch)
1 of 3 Wins
✓Context window
GLM-5.3
2 of 3 Wins
✓Input price✓Output price
Anthropic
Leads 1 of 3
Anthropic: Claude Sonnet 4.6 (batch)

Auto-discovered from OpenRouter (anthropic/claude-sonnet-4.6:batch). Preview until a second source matches.

In: $1.5 · Out: $7.5/1M
Zhipu
Leads 2 of 3
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 1,558In: $0.5 · Out: $1.8/1M
Top Rival Showdowns for Anthropic: Claude Sonnet 4.6 (batch)
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

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 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.

Anthropic: Claude Sonnet 4.6 (batch) (1)vsGLM-5.3 (9)
Anthropic: Claude Sonnet 4.6 (batch): 1W (10%)Overall: GLM-5.3GLM-5.3: 9W (90%)
← Anthropic: Claude Sonnet 4.6 (batch)GLM-5.3 →
🏆GLM-5.3 Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Anthropic: Claude Sonnet 4.6 (batch)vsGLM-5.3
Preference Elo
—vs1,558
Coding Elo
—vs1,586
SWE-bench
—vs76.4%
LiveBench
—vs70.8%
GPQA Diamond
—vs83.2%
Anthropic: Claude Sonnet 4.6 (batch): 0WGLM-5.3: 5W
🏆GLM-5.3 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Anthropic: Claude Sonnet 4.6 (batch)vsGLM-5.3
Output speed
—vs90 tok/s
Time to first token
—vs255 ms
Anthropic: Claude Sonnet 4.6 (batch): 0WGLM-5.3: 2W
🏆GLM-5.3 Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Anthropic: Claude Sonnet 4.6 (batch)vsGLM-5.3
Output price
$7.5/1Mvs$1.8/1M+$5.7/1M
Input price
$1.5/1Mvs$0.5/1M+$1/1M
Context window
1Mvs200k+800k
Anthropic: Claude Sonnet 4.6 (batch): 1WGLM-5.3: 2W

Side-by-Side Benchmark Matrix

Anthropic: Claude Sonnet 4.6 (batch)GLM-5.3
Preference Elo
Anthropic: Claude Sonnet 4.6 (batch)—
GLM-5.31,558
Coding Elo
Anthropic: Claude Sonnet 4.6 (batch)—
GLM-5.31,586
LiveBench
Anthropic: Claude Sonnet 4.6 (batch)—
GLM-5.370.8%
SWE-bench
Anthropic: Claude Sonnet 4.6 (batch)—
GLM-5.376.4%
GPQA Diamond
Anthropic: Claude Sonnet 4.6 (batch)—
GLM-5.383.2%
Time to first token
Anthropic: Claude Sonnet 4.6 (batch)—
GLM-5.3255 ms
Output speed
Anthropic: Claude Sonnet 4.6 (batch)—
GLM-5.390 tok/s
Input priceGLM-5.3 +$1/1M
Anthropic: Claude Sonnet 4.6 (batch)$1.5/1M
GLM-5.3$0.5/1M
Output priceGLM-5.3 +$5.7/1M
Anthropic: Claude Sonnet 4.6 (batch)$7.5/1M
GLM-5.3$1.8/1M
Context windowAnthropic: Claude Sonnet 4.6 (batch) +800k
Anthropic: Claude Sonnet 4.6 (batch)1M
GLM-5.3200k
BenchmarkAnthropic: Claude Sonnet 4.6 (batch)GLM-5.3Advantage Delta
Preference Elo—
1,558
lmarena · Aug 16, 2026
—
Coding Elo—
1,586
lmarena · Aug 16, 2026
—
LiveBench—
70.8%
livebench · Aug 16, 2026
—
SWE-bench—
76.4%
swebench · Aug 16, 2026
—
GPQA Diamond—
83.2%
seed-bootstrap · Aug 16, 2026
—
Time to first token—
255 ms
seed-bootstrap · Aug 16, 2026
—
Output speed—
90 tok/s
seed-bootstrap · Aug 16, 2026
—
Input price
$1.5/1M
openrouter · Aug 17, 2026
$0.5/1M
seed-bootstrap · Aug 16, 2026
+$1/1M
Output price
$7.5/1M
openrouter · Aug 17, 2026
$1.8/1M
seed-bootstrap · Aug 16, 2026
+$5.7/1M
Context window
1M
openrouter · Aug 17, 2026
200k
seed-bootstrap · Aug 16, 2026
+800k

Workload Cost & Savings Calculator

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

Save 73% 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)
Anthropic: Claude Sonnet 4.6 (batch)$165.00 / mo
In: $52.5Out: $112.5
GLM-5.3$44.50 / mo
In: $17.5Out: $27
Estimated Cost Delta

GLM-5.3 is estimated to save $120.50/month ($1,446/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GLM-5.3:Pick GLM-5.3 when you are optimizing output cost.
  • 2
    Anthropic: Claude Sonnet 4.6 (batch):Pick Anthropic: Claude Sonnet 4.6 (batch) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGLM-5.3

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAnthropic: Claude Sonnet 4.6 (batch)

Larger window (1M).

Screenshots / visionGLM-5.3

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

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatGLM-5.3Lower output list price ($1.8/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGAnthropic: Claude Sonnet 4.6 (batch)Larger window (1M).
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.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Anthropic

Anthropic: Claude Sonnet 4.6 (batch)

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$1.5/1M
Output / 1M Tokens$7.5/1M
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, Anthropic: Claude Sonnet 4.6 (batch) or GLM-5.3?
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, Anthropic: Claude Sonnet 4.6 (batch) or GLM-5.3?
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?
GLM-5.3 output tokens are $1.8/1M versus $7.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Anthropic: Claude Sonnet 4.6 (batch) or GLM-5.3?
We do not have TTFT for both models.
Which has the larger context window?
Anthropic: Claude Sonnet 4.6 (batch) accepts 1M tokens versus 200k.
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. Anthropic: Claude Sonnet 4.6 (batch) 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

Similar Head-to-Head Comparisons

All Anthropic: Claude Sonnet 4.6 (batch) matchups →|All GLM-5.3 matchups →
GLM-5.3 vs Z.ai: GLM 5V Turbo (previous glm)Claude Opus 4.5 vs GLM-5.3Claude Opus 4.6 vs GLM-5.3Claude Sonnet 4.5 vs GLM-5.3Claude Opus 5 vs GLM-5.3Claude Fable 5 vs GLM-5.3