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Home/Best GLM-5.3 Alternatives
Best alternative: Claude Opus 5.5Alternatives

Best GLM-5.3 Alternatives

Claude Opus 5.5 is the strongest alternative to GLM-5.3 — it scores 100 vs 91 on coding at $4/1M input (GLM-5.3 costs $1.4/1M). DeepSeek V4-Pro is the budget swap: $0.435/1M input is 69% cheaper. Kimi K3 is the top open-weight option if you want a model you can self-host.

Last verified Oct 10, 2026/Model data modified Oct 10, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
AnthropicPremium
Input cost
$4.00/1M
Context
1M tokens
Speed
Deliberate

Clear recommendation block

The safest GLM-5.3 alternatives default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.

Best overall model

Claude Opus 5.5

View
Why this recommendation

Claude Opus 5.5 is the strongest answer here for GLM-5.3 alternatives — pick it when quality of output matters more than the $4.00/1M/1M input you pay for it.

AnthropicPremium
Best for
Agentic coding, long-running agents and knowledge work where Opus 5 was the bar
Price
$4.00/1M
Context
1M tokens
Best value model

Kimi K3

View
Why this recommendation

Kimi K3 handles the same job for about 25% less per token. Start here and only move up if the output is not good enough.

MoonshotPremium
Best for
Frontier-level reasoning and agentic coding
Price
$3.00/1M
Context
1M tokens
Best for speed

GLM-5.3

View
Why this recommendation

GLM-5.3 is the fastest of these for GLM-5.3 alternatives — worth it when latency is what the reader notices, not the last few points of reasoning depth.

Z.aiBudget
Best for
Agentic engineering and security work on open weights
Price
$1.40/1M
Context
1M tokens

Why this page recommends it

Claude Opus 5.5 beats GLM-5.3 on coding (100 vs 91) at $4/1M input tokens.

DeepSeek V4-Pro cuts input cost by 69% ($0.435 vs $1.4/1M) while scoring 93/100 on coding.

Kimi K3 is open-weight — self-host it or run it via low-cost API providers at $3/1M input.

Decision notes

Choose Claude Opus 5.5 when you want the closest overall replacement — it targets agentic coding, long-running agents and knowledge work where Opus 5 was the bar.

Choose DeepSeek V4-Pro when token volume matters more than peak quality — it is 69% cheaper on input.

Staying with Z.ai? GLM-5.2 is the strongest in-house switch at $1.4/1M input.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the GLM-5.3 alternatives answer changes when cost, speed, or long-document depth leads the decision.

#1Claude Opus 5.592 pts
#2Claude Fable 5.191 pts
#3Kimi K388 pts
#4DeepSeek V4-Pro83 pts
#5GLM-5.381 pts
Quality first

Claude Opus 5.5

Anthropic / Premium / Oct 10, 2026

92

Anthropic's new coding default — top SWE-bench Pro score at a lower price than Opus 5.

Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.

Cost
$4.00/1M
$20.00/1M out
Speed
Deliberate
2/5 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

Your tasks are well-scoped and latency-sensitive — Sonnet 5.5 is half the price and Anthropic says it is the fastest Sonnet yet.

Recommended comparisons

Where the GLM-5.3 alternatives recommendation shifts once you weigh price or latency differently.

Z.aiBudgetBest alternative: Claude Opus 5.5

GLM-5.3

Same price as GLM-5.2, far stronger on agents and security.

Best use case
Agentic engineering and security work on open weights
Input
$1.40/1M
Pricing
Budget
Speed
Balanced
Context
1M tokens
Open weightsAgenticSecurity
AnthropicPremiumOption 2

Claude Opus 5.5

Anthropic's new coding default — top SWE-bench Pro score at a lower price than Opus 5.

Best use case
Agentic coding, long-running agents and knowledge work where Opus 5 was the bar
Input
$4.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
CodingAgenticFlagship
DeepSeekBudgetOption 3

DeepSeek V4-Pro

Former DeepSeek flagship — API requests now run on V4.1 Flash.

Best use case
Frontier-level coding and reasoning on a budget
Input
$0.43/1M
Pricing
Budget
Speed
Balanced
Context
1M tokens
Open weightsCodingReasoning
MoonshotPremiumOption 4

Kimi K3

Closest Chinese challenger to the frontier — #4 overall on intelligence.

Best use case
Frontier-level reasoning and agentic coding
Input
$3.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Open weightsReasoningFlagship
Z.aiBudgetOption 5

GLM-5.2

Top open-weights coder — beats GPT-5.5 at a sixth of the cost.

Best use case
Budget agentic coding at scale
Input
$1.40/1M
Pricing
Budget
Speed
Balanced
Context
1M tokens
Open weightsCodingBudget
AnthropicPremiumOption 6

Claude Fable 5.1

Anthropic's highest-ceiling model — strongest on open-ended research; Opus 5.5 now leads coding.

Best use case
Frontier agentic coding, long-horizon autonomous work, and agentic scientific research
Input
$10.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Coding leaderFrontierAgentic

Side-by-side specs

List prices and published scores — the numbers this page's pick is built from.

ModelInputOutputEst. monthContextSpeedCodingWritingResearch
Claude Opus 5.5Anthropic$4.00/1M$20.00/1M$801M tokensDeliberate1009799
GLM-5.3Z.ai$1.40/1M$4.40/1M$231M tokensBalanced917982
DeepSeek V4-ProDeepSeek$0.43/1M$0.87/1M$6.091M tokensBalanced938085
Kimi K3Moonshot$3.00/1M$15.00/1M$601M tokensDeliberate969093

Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.

The case for each model

Why each one is on the shortlist for GLM-5.3 alternatives, what it is genuinely good at, and where we would steer you away from it.

Claude Opus 5.5

Best alternative: Claude Opus 5.5Anthropic

Ranked first here for GLM-5.3 alternatives: 100/100 on coding, with the widest margin of anything in this line-up.

Anthropic's September 22, 2026 Opus — a step up from Opus 5 on agentic coding, long-running agent work and vision, at a lower $4/$20 list price and with fewer tokens spent per finished task.

Input
$4.00/1M
Output
$20.00/1M
Context
1M tokens
Speed
Deliberate

What people actually use it for

  • Repository-scale changes and PR work — Anthropic reports 89.9% on SWE-bench Pro, up from 79.2% for Opus 5
  • Long unattended agent runs where per-task token spend matters as much as the per-token price
  • Reports, analysis and briefs that need to state findings and next steps plainly

Where it wins

  • SWE-bench Pro 89.9% in Anthropic's launch table, ahead of Claude Fable 5.1 (81.2%) and Opus 5 (79.2%)
  • Cheaper than the model it replaces: $4/$20 per 1M against Opus 5's $5/$25, and cache reads at $0.20/1M
  • 1M context and 128K output at standard rates, with effort levels up to max

Where it falls down

  • Not ahead everywhere: Anthropic's own table has Opus 5 higher on Toolathlon Verified (80.6% vs 77.8%)
  • Fast mode doubles the price to $8/$40
  • Terminal-Bench 4.0 differs by effort setting (66.4% at xhigh, 64.8% at max), so single-digit gaps against rivals are directional

Skip it if

Your tasks are well-scoped and latency-sensitive — Sonnet 5.5 is half the price and Anthropic says it is the fastest Sonnet yet.

Our verdict

The new premium coding default from Anthropic. Opus 5.5 posts the highest SWE-bench Pro figure in any launch table we track and costs less than Opus 5 did. Fable 5.1 still makes sense for the hardest open-ended research at $10/$50; for almost everything else Opus 5.5 is the better buy, and Sonnet 5.5 at half the price is close behind on well-scoped work.

Full pricing, benchmark table and release notes on the Claude Opus 5.5 page.

GLM-5.3

Z.ai

Here for latency: it answers fastest of anything listed for GLM-5.3 alternatives, at 91/100 on coding.

Z.ai's August 2026 flagship, aimed squarely at software engineering, autonomous agents and cybersecurity — and the first open-weights model to beat Claude Mythos 5 on a security benchmark.

Input
$1.40/1M
Output
$4.40/1M
Context
1M tokens
Speed
Balanced

What people actually use it for

  • Long-horizon autonomous engineering tasks where GLM-5.2 ran out of headroom
  • Offensive and defensive security tooling — 84.5% on CyberGym, ahead of Claude Mythos 5
  • Self-hosted or coding-plan deployments that need frontier-adjacent quality at open-weights pricing

Where it wins

  • Huge agentic gains over GLM-5.2: Terminal-Bench 3.0 from 4.6 to 28.3, DeepSWE v1.1 from 46.2 to 66.9, SWE-Marathon v1.1 from 19.4 to 42.5
  • 84.5% on CyberGym, narrowly ahead of Claude Mythos 5 at 83.8%; ExploitBench more than doubled from 24.4% to 54.4%
  • 88.2% on Terminal-Bench 2.1 with a 1M token context window

Where it falls down

  • No published SWE-bench Verified score, so it is absent from the benchmark most buyers compare on
  • Priced identically to GLM-5.2 at $1.40/$4.40 — the upgrade is capability, not value

Skip it if

Your procurement process requires a SWE-bench Verified figure, or you need the closed-frontier reasoning ceiling.

Our verdict

The clear upgrade over GLM-5.2 at the same price — take it unless you specifically need a published SWE-bench Verified number to sign off on. The security benchmark lead over Mythos 5 is the genuinely new thing here.

Full pricing, benchmark table and release notes on the GLM-5.3 page.

DeepSeek V4-Pro

DeepSeek

The alternative to check next for GLM-5.3 alternatives — 93/100 on coding.

Input
$0.43/1M
Output
$0.87/1M
Context
1M tokens
Speed
Balanced

Former DeepSeek flagship — API requests now run on V4.1 Flash. Full DeepSeek V4-Pro review →

Kimi K3

Moonshot

Where most budgets should land for GLM-5.3 alternatives — about 25% less per token than Claude Opus 5.5, and still 96/100 on the coding axis.

Input
$3.00/1M
Output
$15.00/1M
Context
1M tokens
Speed
Deliberate

Closest Chinese challenger to the frontier — #4 overall on intelligence. Full Kimi K3 review →

Explore related decisions

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GLM-5.3Same price as GLM-5.2, far stronger on agents and security.Read guide
Anthropic
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Comparison
GLM-5.3 vs DeepSeek V4-ProGLM-5.3 vs DeepSeek V4-Pro — see exactly which wins on SWE-bench coding, price per…Read guide
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Quick links

Browse all modelsCompare pricingView GLM-5.3View Claude Opus 5.5View DeepSeek V4-Pro

How we evaluate AI models

UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.

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FAQ

What is the best alternative to GLM-5.3?

Claude Opus 5.5 is the strongest overall alternative. It scores 100/100 on coding (GLM-5.3: 91/100) and costs $4/1M input vs $1.4/1M. Anthropic's new coding default — top SWE-bench Pro score at a lower price than Opus 5.

What is the cheapest good alternative to GLM-5.3?

DeepSeek V4-Pro at $0.435/1M input — 69% cheaper than GLM-5.3's $1.4/1M. It scores 93/100 on coding, so expect a quality step down on the hardest tasks.

Is there an open-source alternative to GLM-5.3?

Yes — Kimi K3 is the strongest open-weight replacement for GLM-5.3, scoring 96/100 on coding against GLM-5.3's 91/100. You can self-host it or run it through hosted APIs at $3/1M input (GLM-5.3 costs $1.4/1M), with no per-seat subscription. Self-hosting trades the licence saving for infrastructure you have to run, so it pays off at sustained volume rather than for occasional use.

What is the best Z.ai alternative to GLM-5.3?

GLM-5.2 — same provider, same API surface, $1.4/1M input vs $1.4/1M. Top open-weights coder — beats GPT-5.5 at a sixth of the cost.

Is GLM-5.3 still worth using in 2026?

The clear upgrade over GLM-5.2 at the same price — take it unless you specifically need a published SWE-bench Verified number to sign off on.