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AnthropicZ.aiLLM matchup

Claude Haiku 5.5vs.GLM-5.3

Which one is better?

Claude Haiku 5.5 and GLM-5.3 perform about equally well, but GLM-5.3 costs 14 times (input) and 8.8 times (output) as much.

level
IntelligenceOverall index, 100 points = average
103.4

Claude Haiku 5.5

Rank 20

100.7

GLM-5.3

Rank 27

Haiku 5.5 faster
SpeedTokens per second
236

Claude Haiku 5.5

63

GLM-5.3

Haiku 5.5 cheaper
Price$ per 1M tokens
$0.20

Claude Haiku 5.5

$2.15

GLM-5.3

Haiku 5.5 more popular
Popularity0 to 100
77

Claude Haiku 5.5

Rank 3 of 875

50

GLM-5.3

Rank 104 of 875

Above 100,000 tokens of context, Claude Haiku 5.5 costs more: $0.50 input and $2.50 output per 1M tokens.

Choose Claude Haiku 5.5 for

MathematicsReasoningHealthCybersecurityAgents (not certain)General (not certain)

Choose GLM-5.3 for

LegalProductivityKnowledge (not certain)

Where is the difference?

Strengths at a glance

Haiku 5.5GLM-5.3

The median of all ranked models is below 100 in every area, so it sits in the centre of the net.

105110100CodinglevelReasoningHaiku 5.5MathematicsHaiku 5.5Knowledgeslightly GLM-5.3Agentsslightly Haiku 5.5Generalslightly Haiku 5.5FinancelevelLegalGLM-5.3HealthHaiku 5.5
Codinglevel
Haiku 5.5106.2Rank 18
GLM-5.3105.0Rank 20
Median of ranked models83.7

95 % range: Haiku 5.5 102.5 to 109.9, GLM-5.3 101.2 to 108.7.

AreaHaiku 5.5GLM-5.3

The same values and verdicts as the bars below. In the top field the net starts at 100 points, the reference group average; values below sit as a hollow point in the centre. Not in the net because a model has no own value there or the data are too thin: Multimodal.

Haiku 5.5 is ahead in 3 of 9 areas, GLM-5.3 in 1.

Haiku 5.5 ahead: 3Haiku 5.5 slightly ahead: 2level: 2GLM-5.3 slightly ahead: 1GLM-5.3 ahead: 1

Areas in the overall index
MathematicsHaiku 5.5 +11107.1 to 95.9
ReasoningHaiku 5.5 +9105.2 to 96.2
Knowledgeleaning GLM-5.3not certain · 2 and 3 tests
Agentsleaning Haiku 5.5not certain · 4 and 6 tests
Generalleaning Haiku 5.5not certain · 5 and 4 tests
Codinglevel106.2 to 105.0
Specialist fields
LegalGLM-5.3 +1394.4 to 107.0
HealthHaiku 5.5 +9108.9 to 100.3
Financelevel104.7 to 106.3

Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.

Show 3 more areas that do not count toward the overall index
CybersecurityHaiku 5.5 +4108.6 to 104.2
ProductivityGLM-5.3 +4101.8 to 105.9
Educationonly Haiku 5.5 has a score

Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.

Claude Haiku 5.5 vs. GLM-5.3 at the same effort

Both models measured at the same reasoning efforts. This shows whether a lead comes from the model or only from more compute.

lowGLM-5.3 slightly ahead
Haiku 5.5 80.8 vs. GLM-5.3 89.3 · Gap 5.6 · Test series 11
maxHaiku 5.5 ahead
Haiku 5.5 103.4 vs. GLM-5.3 100.7 · Gap 6.5 · Test series 12
Overall index (max vs. max)level
Haiku 5.5 103.4 vs. GLM-5.3 100.7

Gap and verdict compare only the Artificial Analysis test series in which both models are measured at that effort. Tied below 3 points, ahead only beyond two standard errors. The single values rest on all test series of each model, so their difference can deviate from the gap.

Which model for which task?

Everyday tasks, translated from the area values above. Each row names the values it rests on.

Writing and debugging codelevelCoding 106.2 to 105.0
Maths and data analysisHaiku 5.5Mathematics 107.1 to 95.9, Reasoning 105.2 to 96.2
Facts and researchleaning GLM-5.3Knowledge 85.5 to 92.1
Agents and workflowsleaning Haiku 5.5Agents 106.1 to 100.0
Fast chat repliesHaiku 5.5236 to 63 tokens per second
Security analysisHaiku 5.5Cybersecurity 108.6 to 104.2
Many requests on a small budgetHaiku 5.5$0.20 to $2.15 per 1M tokens
Finance, legal and medical textsdepends on the partFinance 104.7 to 106.3, Legal 94.4 to 107.0, Health 108.9 to 100.3

See for yourself: same task, one attempt

The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.

Pelican on a bicycle

Prompt

Generate an SVG of a pelican riding a bicycle

Task origin: Simon Willison

Claude Haiku 5.5

Not tested yet

GLM-5.3

GLM-5.3: Pelican on a bicycle
A community classic for free-form SVG drawing.

Oct 2, 2026 · 20 s · $0.0099

Test details
Run date
Oct 2, 2026
API provider
openrouter
Requested API model
z-ai/glm-5.3
Reasoning setting
high
Token limit including reasoning
8,192 tokens
Output tokens
2,235 tokens
Cost of the attempt
$0.0099
Response time
20.4 s
API model reported in response
z-ai/glm-5.3
Pinned endpoint
Z.AI | z-ai/glm-5.3-20260816
Temperature
Provider default
Test protocol
community-visual-tests-v1
Technical checks
Passed, not a quality rating

Visually reviewed. This individual test does not establish overall model quality.

Earlier attempts (2)

  • Oct 1, 2026API request failedReasoning setting: high
  • Sep 7, 2026API request failedReasoning setting: high
SVG short test

SVG short test

One SVG task with the same fixed settings for every model, without hidden thinking.

Prompt

Return only one standalone SVG of a pelican riding a bicycle. Use viewBox="0 0 800 600", simple shapes, two clearly visible wheels and a recognizable pelican with a long beak. At most 30 SVG elements and 1800 characters. No Markdown, explanations, comments, scripts, animation, CSS or external resources.

Claude Haiku 5.5

Unavailable in this round

GLM-5.3

Unavailable in this round

Claude Haiku 5.5 and GLM-5.3 in the overall index

Every model with a place in the overall index, both models of this matchup highlighted. You can add or hide other models.

Overall index (Gradually Meta-Score v4)

20 of 91 models

4 models in this view are measured at a lower reasoning effort than max in the overall index. Dashed column: lower reasoning effort than the top.

Claude Opus 5.5max126.1
Gemini 4 Carbonhigh125.7
Claude Fable 5.1max123.8
Claude Sonnet 5.5max122.8
Gemini 4 Argonhigh122.3
GPT-6 Astramax121.3
GPT-6.1 Solmax119.2
Muse Wonder Fullmax118.3
Claude Opus 5max117.2
Muse Wondermax113.4
Kimi K3.1 Promax112.9
Claude Fable 5max112.5
GPT-6 Solmax110.6
GPT-5.6 Solmax108.7
Muse Spark 1.3max107.4
Gemini 3.7 Flashhigh107.1
DeepSeek V4.1 Flash 1017max106.6
Gemini 3.8 Flashhigh106.5
Claude Haiku 5.5max103.4
GLM-5.3max100.7

Popularity compared

How often the models are searched for, used and mentioned, on a scale from 0 to 100.

Claude Haiku 5.5 is more popular than GLM-5.3: 77 to 50 out of 100.

Over time

Weekly values from October 18, 2026 to November 5, 2026

Claude Haiku 5.5GLM-5.3

All data side by side

The better value is bold. For the overall index only when the gap is clear.

MetricClaude Haiku 5.5GLM-5.3
Intelligence
Overall indexpoints, 100 = reference group average, higher is better103.4100.7
RankRank 20 of 91Rank 27 of 91
Price per 1M tokens
Inputwhat you send$0.10above 100,000 tokens: $0.50$1.40
Outputwhat the model writes$0.50above 100,000 tokens: $2.50$4.40
Speed
Tokens per second23663
Popularity
Popularitysearch, usage and mentions, 0 to 10077Rank 3 of 87550Rank 104 of 875
Technical
Context windowhow much text the model reads at once1 M tokens≈ 1,500 A4 pages1 M tokens≈ 1,500 A4 pages
Knowledge cutoffJune 2026n/a
ReleasedOct 7, 2026Aug 18, 2026
AvailabilityActiveActive
Open weightsnoyes

Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis

Is there a better choice?

Best model in the overall indexClaude Opus 5.5

Overall index 126.1, rank 1. $4 input and $20 output per 1M tokens.

Haiku 5.5 vs. Claude Opus 5.5

Shared benchmarks

Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.

A: Claude Haiku 5.5B: GLM-5.3

AA-AnalystAgentOverall · higher is betterClaude Haiku 5.5: 53.8%GLM-5.3: 38.8%Artificial AnalysisAs of 11/06/2026
AA-BriefcaseOverall · higher is betterClaude Haiku 5.5: 1,114.41 eloGLM-5.3: 1,185.12 eloArtificial AnalysisAs of 11/06/2026
AA-OmniscienceOverall · higher is betterClaude Haiku 5.5: 2.167 pointsGLM-5.3: -11.167 pointsArtificial AnalysisAs of 11/06/2026
AA-Omniscience AccuracyOverall · higher is betterClaude Haiku 5.5: 30.4%GLM-5.3: 31.9%Artificial AnalysisAs of 11/06/2026
AA-Omniscience Hallucination RateOverall · lower is betterClaude Haiku 5.5: 40.5%GLM-5.3: 63.2%Artificial AnalysisAs of 11/06/2026
AutomationBench-AAOverall · higher is betterClaude Haiku 5.5: 22.9%GLM-5.3: 52.0%Artificial AnalysisAs of 11/06/2026
Code MigrationOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 44.6%GLM-5.3: 44.2%Vals AIAs of 10/29/2026
Code Migration v1.1Overall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 52.4%GLM-5.3: 55.1%Vals AIAs of 10/30/2026
CritPt v2 (Hard Subset)Overall · higher is betterClaude Haiku 5.5: 21.5%GLM-5.3: 21.5%Artificial AnalysisAs of 11/06/2026
CyberBench v1.1Overall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 75.5%GLM-5.3: 72.1%Vals AIAs of 11/05/2026
Show 54 more benchmarks
EMBOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 59%GLM-5.3: 56.3%Vals AIAs of 10/20/2026
EMB v1.1Overall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 65.5%GLM-5.3: 69.1%Vals AIAs of 11/05/2026
Finance Agent (v2)Overall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 54.1%GLM-5.3: 55.8%Vals AIAs of 10/29/2026
Finance Agent v2.1Overall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 65.4%GLM-5.3: 65%Vals AIAs of 11/05/2026
FrontierCodeOverall · higher is betterClaude Haiku 5.5: 8.0%GLM-5.3: 12.7%Artificial AnalysisAs of 11/06/2026
FrontierCode 1.1 MainOverall · higher is betterClaude Haiku 5.5: 29.3%GLM-5.3: 34.9%Artificial AnalysisAs of 11/06/2026
GDP.pdfOverall · higher is betterClaude Haiku 5.5: 11.2%GLM-5.3: 8.8%Artificial AnalysisAs of 11/06/2026
GDPval-AAOverall · higher is betterClaude Haiku 5.5: 1,130.36 eloGLM-5.3: 1,333.34 eloArtificial AnalysisAs of 11/06/2026
HLAB-Vals-1.1Overall · Task fully resolved · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 4.2%GLM-5.3: 14.6%Vals AIAs of 11/05/2026
HLE-DiamondOverall · higher is betterClaude Haiku 5.5: 14.1%GLM-5.3: 17.5%Artificial AnalysisAs of 11/06/2026
ImmigrationOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 61.8%GLM-5.3: 66.7%Vals AIAs of 10/28/2026
IOIOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 47.3%GLM-5.3: 68.4%Vals AIAs of 10/29/2026
Legal Research BenchOverall · All-pass · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 43.8%GLM-5.3: 49%Vals AIAs of 11/05/2026
LMArena Code Arena WebDevOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 1,589GLM-5.3: 1,623LMArenaAs of 10/28/2026
LMArena Text, Style ControlOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 1,425GLM-5.3: 1,481LMArenaAs of 10/28/2026
MedCodeOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 51.5%GLM-5.3: 42.9%Vals AIAs of 10/29/2026
MedScribeOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 89.5%GLM-5.3: 88.8%Vals AIAs of 10/29/2026
MysteryMechanismOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 35.1%GLM-5.3: 23%Vals AIAs of 10/29/2026
ProgramBenchOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 2.5%GLM-5.3: 1.5%Vals AIAs of 11/05/2026
ProofBench v1.1Overall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 89%GLM-5.3: 49%Vals AIAs of 10/29/2026
Public Benefits Bench v1.1Overall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 63.2%GLM-5.3: 68.5%Vals AIAs of 10/12/2026
SRE BenchOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 5.7%GLM-5.3: 9.2%Vals AIAs of 11/05/2026
Tax Agent BenchOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 31.9%GLM-5.3: 39.7%Vals AIAs of 11/05/2026
Terminal-BenchOverall · higher is betterClaude Haiku 5.5: 12.6%GLM-5.3: 34.8%Artificial AnalysisAs of 11/06/2026
Terminal-Bench 4.0Overall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 36.4%GLM-5.3: 38.9%Vals AIAs of 11/05/2026
Terminal-Bench-ScienceOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 10%GLM-5.3: 5.7%Vals AIAs of 11/05/2026
Terminal-Bench-ScienceOverall · higher is betterClaude Haiku 5.5: 1.9%GLM-5.3: 3.8%Artificial AnalysisAs of 11/06/2026
Vals Finance IndexOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 57.4%GLM-5.3: 60.5%Vals AIAs of 11/05/2026
Vals IndexOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 58.7%GLM-5.3: 59.7%Vals AIAs of 11/05/2026
Vals Legal IndexOverall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 70.3%GLM-5.3: 74.6%Vals AIAs of 11/05/2026
Vals Router IndexFull Index · higher is betterClaude Haiku 5.5: 58.7%GLM-5.3: 59.7%Vals AIAs of 11/03/2026
Vibe Code Bench 1-100Overall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 20.4%GLM-5.3: 20%Vals AIAs of 10/29/2026
Vibe Code Bench v1.1Overall · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 90.4%GLM-5.3: 78.1%Vals AIAs of 11/05/2026
AA-BriefcaseOverall · higher is betterClaude Haiku 5.5: 1,574.12 eloGLM-5.3: 1,502.84 eloArtificial AnalysisAs of 11/06/2026
AA-OmniscienceOverall · higher is betterClaude Haiku 5.5: 12.3 pointsGLM-5.3: 6.033 pointsArtificial AnalysisAs of 11/06/2026
AA-Omniscience AccuracyOverall · higher is betterClaude Haiku 5.5: 34.7%GLM-5.3: 32.3%Artificial AnalysisAs of 11/06/2026
AA-Omniscience Hallucination RateOverall · lower is betterClaude Haiku 5.5: 34.2%GLM-5.3: 38.9%Artificial AnalysisAs of 11/06/2026
AutomationBench-AAOverall · higher is betterClaude Haiku 5.5: 35.4%GLM-5.3: 62.2%Artificial AnalysisAs of 11/06/2026
Code MigrationCLI · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 36.1%GLM-5.3: 35.6%Vals AIAs of 10/29/2026
Code Migration v1.1CLI · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 42.1%GLM-5.3: 40.6%Vals AIAs of 10/30/2026
CritPt v2 (Hard Subset)Overall · higher is betterClaude Haiku 5.5: 43.5%GLM-5.3: 33.5%Artificial AnalysisAs of 11/06/2026
CyberBench v1.1Patch · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 89.3%GLM-5.3: 87.5%Vals AIAs of 11/05/2026
EMBComps · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 77.9%GLM-5.3: 45.3%Vals AIAs of 10/20/2026
EMB v1.1Comps · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 77.7%GLM-5.3: 67.6%Vals AIAs of 11/05/2026
Finance Agent (v2)Adjustments · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 49.6%GLM-5.3: 52.7%Vals AIAs of 10/29/2026
Finance Agent v2.1Adjustments · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 67.7%GLM-5.3: 67.5%Vals AIAs of 11/05/2026
FrontierCodeOverall · higher is betterClaude Haiku 5.5: 34.9%GLM-5.3: 21.6%Artificial AnalysisAs of 11/06/2026
FrontierCode 1.1 MainOverall · higher is betterClaude Haiku 5.5: 41.8%GLM-5.3: 40.1%Artificial AnalysisAs of 11/06/2026
GDP.pdfOverall · higher is betterClaude Haiku 5.5: 20.8%GLM-5.3: 11.2%Artificial AnalysisAs of 11/06/2026
GDPval-AAOverall · higher is betterClaude Haiku 5.5: 1,630.83 eloGLM-5.3: 1,656.88 eloArtificial AnalysisAs of 11/06/2026
HLAB-Vals-1.1Antitrust Competition · Criteria passed · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 86.2%GLM-5.3: 93.5%Vals AIAs of 11/05/2026
HLE-DiamondOverall · higher is betterClaude Haiku 5.5: 29.6%GLM-5.3: 17.9%Artificial AnalysisAs of 11/06/2026
ImmigrationAll-Pass · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 16%GLM-5.3: 21%Vals AIAs of 10/28/2026
IOIIOI 2024 · higher is betterTest setup not documented as identicalClaude Haiku 5.5: 67.7%GLM-5.3: 76.3%Vals AIAs of 10/29/2026

More comparisons

Compare Claude Haiku 5.5 and GLM-5.3 with the models people compare them with most often.

Compare another matchup

The most popular comparisons

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  2. 2Claude Sonnet 5.5 vs. Claude Haiku 5.5
  3. 3Claude Haiku 5.5 vs. DeepSeek V4.1 Flash 1017
  4. 4Claude Haiku 5.5 vs. DeepSeek-V4-Flash
  5. 5Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
  6. 6Claude Opus 5.5 vs. GLM-5.3
  7. 7Claude Opus 5.5 vs. Claude Haiku 5.5
  8. 8Claude Haiku 5.5 vs. Gemini 3.5 Flash-Lite
  9. 9Claude Haiku 5.5 vs. Gemini 3.8 Flash
Show all 60 comparisons
  1. 10Claude Sonnet 5.5 vs. GLM-5.3
  2. 11Claude Haiku 5.5 vs. Claude Sonnet 4.5
  3. 12GLM-5.3 vs. Mistral Large 4
  4. 13Claude Haiku 5.5 vs. Claude Sonnet 5
  5. 14Claude Haiku 5.5 vs. Claude Opus 5
  6. 15Claude Haiku 5.5 vs. GPT-6 Astra
  7. 16Claude Haiku 5.5 vs. Gemini 3.5 Flash
  8. 17Claude Haiku 5.5 vs. Claude Opus 4.8
  9. 18Claude Haiku 5.5 vs. Gemini 4 Argon
  10. 19GLM-5.3-Flash vs. GLM-5.3
  11. 20Claude Haiku 5.5 vs. Grok 4.7
  12. 21Claude Haiku 5.5 vs. GPT-5.6 Luna
  13. 22Claude Haiku 5.5 vs. Qwen 3.8 Max 0902
  14. 23GLM-5.3 vs. Mistral Large 3
  15. 24Claude Haiku 5.5 vs. Muse Spark 1.3
  16. 25GPT-6 Astra vs. GLM-5.3
  17. 26Claude Haiku 5.5 vs. Claude Sonnet 4.6
  18. 27Claude Haiku 5.5 vs. Gemini 3.7 Flash
  19. 28Claude Haiku 5.5 vs. Mistral Large 4
  20. 29Gemini 3.8 Flash vs. GLM-5.3
  21. 30Kimi K3 vs. GLM-5.3
  22. 31Claude Haiku 5.5 vs. GPT-6.1 Sol
  23. 32DeepSeek V4.1 Flash 1017 vs. GLM-5.3
  24. 33Claude Opus 5 vs. GLM-5.3
  25. 34DeepSeek-V4.1-Flash vs. GLM-5.3
  26. 35DeepSeek-V4-Pro vs. GLM-5.3
  27. 36Grok 4.7 vs. GLM-5.3
  28. 37Claude Haiku 5.5 vs. Gemini 3.1 Pro Preview
  29. 38Claude Haiku 5.5 vs. GLM-5.3-Flash
  30. 39Claude Haiku 5.5 vs. DeepSeek-V4-Pro
  31. 40Claude Haiku 5.5 vs. GPT-5.6 Sol
  32. 41Claude Haiku 5.5 vs. Gemini 3.6 Flash
  33. 42Claude Haiku 5.5 vs. Claude Opus 4.6
  34. 43Kimi K2.6 vs. GLM-5.3
  35. 44Claude Haiku 5.5 vs. Kimi K2.6
  36. 45GPT-6 Sol vs. GLM-5.3
  37. 46Grok 4.6 vs. GLM-5.3
  38. 47GPT-6.1 Sol vs. GLM-5.3
  39. 48GPT-6 Luna vs. GLM-5.3
  40. 49Gemini 3.1 Pro Preview vs. GLM-5.3
  41. 50Claude Opus 4.8 vs. GLM-5.3
  42. 51Claude Haiku 5.5 vs. Claude Opus 4.7
  43. 52Claude Haiku 5.5 vs. Mistral Large 3
  44. 53Claude Haiku 5.5 vs. GPT-5.5
  45. 54GPT-5.4 vs. GLM-5.3
  46. 55Gemini 3.5 Flash-Lite vs. GLM-5.3
  47. 56GLM-5.3 vs. MiMo-V2.5
  48. 57Claude Opus 4.6 vs. GLM-5.3
  49. 58Claude Opus 4.7 vs. GLM-5.3
  50. 59Claude Haiku 5.5 vs. GPT-6.1 Terra
  51. 60Kimi K3.1 Pro vs. GLM-5.3