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Home/Best GLM Alternatives
Best alternative: Claude Fable 5Alternatives

Best GLM Alternatives

Claude Fable 5 from Anthropic is the strongest GLM alternative right now — and it now beats GLM's flagship GLM-5.3 on overall capability. DeepSeek V4-Flash is the value pick at $0.14/1M input tokens. Kimi K3 is the open-weight option if you want full control.

Last verified Aug 27, 2026/Model data modified Aug 27, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
AnthropicPremium
Input cost
$10.00/1M
Context
1M tokens
Speed
Deliberate

Clear recommendation block

The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.

Best overall model

Claude Fable 5

View
Why this recommendation

Claude Fable 5 is the safest overall answer here when you want the strongest default instead of the lowest list price.

AnthropicPremium
Best for
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
Price
$10.00/1M
Context
1M tokens
Best budget model

Mistral: Mistral Nemo

View
Why this recommendation

Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.

MistralBudget
Best for
Teams needing a cheap, fast, multilingual workhorse for classification, summarization, or light coding tasks at scale.
Price
$0.02/1M
Context
131k tokens
Best for speed

DeepSeek V4-Flash

View
Why this recommendation

DeepSeek V4-Flash is the better pick when response speed matters more than maximum reasoning depth.

DeepSeekBudget
Best for
High-volume agentic coding and tool-use pipelines
Price
$0.14/1M
Context
1M tokens

Why this page recommends it

Claude Fable 5 is the strongest all-round GLM alternative — 99/100 average across coding, writing, and research.

DeepSeek V4-Flash is the budget swap at $0.14/1M input (budget score 98/100).

Kimi K3 is open-weight — no subscription, self-hostable, $3/1M via hosted APIs.

Decision notes

Choose Claude Fable 5 if you want one premium replacement for everything GLM does.

Choose Claude Fable 5 if coding is the main reason you'd switch.

Choose DeepSeek V4-Flash if you're leaving over price — it is the best capability-per-dollar rival.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.

#1Claude Fable 591 pts
#2Claude Mythos 590 pts
#3Kimi K388 pts
#4GLM-5.381 pts
#5DeepSeek V4-Flash79 pts
Quality first

Claude Fable 5

Anthropic / Premium / Jun 9, 2026

91

New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.

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

Cost
$10.00/1M
$50.00/1M out
Speed
Deliberate
2/5 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You are latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.

Recommended comparisons

The fastest way to see where the recommendation shifts when your priority changes.

Z.aiBudgetBest alternative: Claude Fable 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 Fable 5

New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.

Best use case
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
Input
$10.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Coding leaderSWE-Bench Pro #1Mythos-class
DeepSeekBudgetOption 3

DeepSeek V4-Flash

Best agentic capability per dollar in the directory.

Best use case
High-volume agentic coding and tool-use pipelines
Input
$0.14/1M
Pricing
Budget
Speed
Fast
Context
1M tokens
Open weightsBudgetAgentic
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
AnthropicPremiumOption 5

Claude Mythos 5

The frontier ceiling — same model as Fable 5, safeguards lifted, partner-only.

Best use case
Frontier cybersecurity research, autonomous vulnerability discovery, and the absolute capability ceiling
Input
$10.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
FrontierRestricted accessCybersecurity

Side-by-side specs

Every figure below is the provider's list price or a published capability score — the same numbers the recommendation on this page is built from.

ModelInputOutputEst. monthContextSpeedCodingWritingResearch
Claude Fable 5Anthropic$10.00/1M$50.00/1M$2001M tokensDeliberate10098100
GLM-5.3Z.ai$1.40/1M$4.40/1M$231M tokensBalanced917982
DeepSeek V4-FlashDeepSeek$0.14/1M$0.28/1M$1.961M tokensFast877478
Kimi K3Moonshot$3.00/1M$15.00/1M$601M tokensDeliberate969093

Capability scores are out of 100 and reflect our own weighting of published benchmarks and production signals — see how we evaluate models. “Est. month” assumes 10M input and 2M output tokens at list price, with no batch or caching discounts applied, so treat it as a ceiling.

The case for each model

What each one is genuinely good at, where it falls down, and the situations we would steer you away from it — not just the headline score.

Claude Fable 5

Best alternative: Claude Fable 5Anthropic

Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.

Input
$10.00/1M
Output
$50.00/1M
Context
1M tokens
Speed
Deliberate

What people actually use it for

  • Autonomous agents that plan, write, run, and debug across an entire codebase with minimal supervision
  • Whole-repo refactors and PR review where accuracy outranks latency or cost
  • Frontier reasoning over 1M-token corpora — security audits, legal discovery, scientific synthesis

Where it wins

  • 80.3% SWE-Bench Pro — the new #1, up from Opus 4.8's 69.2% and GPT-5.5's 58.6%
  • 1932 on GDPval-AA, ahead of Opus 4.8 (1890) and GPT-5.5 (1769)
  • 1M-token context at standard pricing, 128K max output per request
  • Mythos-class capability released for general use with new cyber-risk safeguards

Where it falls down

  • Priced at $10/$50 per 1M tokens — double Opus 4.8 ($5/$25)
  • Deliberate pace; not for latency-sensitive interactive apps
  • Standard-use safeguards block some high-risk security workloads (use Mythos 5 with partner access)

Skip it if

You are latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.

Our verdict

The strongest coding and reasoning model you can actually use today. 80.3% SWE-Bench Pro is an 11-point leap over Opus 4.8 — the biggest single-release jump of 2026. It costs 2× Opus 4.8, so use it for the hardest agentic and engineering work and keep Opus 4.8 or Sonnet for everyday volume.

Launched June 9, 2026 as the public, Mythos-class release. Available on the Claude API, Microsoft Foundry, and Google Vertex AI. Free for all users until June 22, 2026. Same underlying model as Claude Mythos 5, with safeguards that block specific high-risk cyber responses.

GLM-5.3

Z.ai

Z.ai's newest 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.

Released August 14, 2026. Z.ai list pricing is $1.40/$4.40, the same rate as GLM-5.2; resellers discount from that list. Also available through the GLM Coding Plan from $18/mo. Reported GPQA Diamond 91.7% and Artificial Analysis Intelligence Index 59.5.

DeepSeek V4-Flash

DeepSeek

A 284B-parameter (13B active) MoE workhorse re-post-trained for agentic and coding tasks — beats the V4-Pro preview on every published agent benchmark at ultra-commodity pricing.

Input
$0.14/1M
Output
$0.28/1M
Context
1M tokens
Speed
Fast

What people actually use it for

  • Agent pipelines at $0.14/1M input — Terminal-Bench 2.1 82.7 rivals models 30x its price
  • Tool-calling workloads (Toolathlon-Verified 70.3) with 2,500 concurrent requests
  • Self-hosting in ~110 GB at 3-bit quantization under MIT license

Where it wins

  • Terminal-Bench 2.1 82.7 — up from 61.8 in the April preview, beating V4-Pro (Preview) on all nine published agent benchmarks
  • Strong tool-calling and security-task results (Toolathlon-Verified 70.3, Cybergym 76.7)
  • $0.14/$0.28 per 1M with 1M context and MIT-licensed weights

Where it falls down

  • Well behind GPT-5.6, Opus-class, and Gemini frontier models on the hardest reasoning and long-horizon work
  • Text-only, and several headline numbers come from DeepSeek's own unreleased eval framework

Skip it if

You need vision input or frontier-grade reasoning on the hardest tasks.

Our verdict

The best cheap agent engine of 2026. At $0.14/1M input with an 82.7 Terminal-Bench score, nothing touches its agentic capability per dollar. Use it for volume; escalate the hard 10% to a frontier model.

Official V4-Flash-0731 release July 31, 2026; weights on Hugging Face, API in public beta. Only DeepSeek model supporting the Responses API. DeepSeek has warned of a future price increase.

Kimi K3

Moonshot

Moonshot's 2.8-trillion-parameter multimodal reasoning flagship with always-on thinking — the largest open-weight model ever released and the closest Chinese challenger to the Western frontier.

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

What people actually use it for

  • Hardest reasoning tasks — #4 of all models on AA Intelligence Index v4.1 (57.1), ahead of Claude Opus 4.8
  • Agentic coding at 81.2 FrontierSWE and 88.3 Terminal-Bench 2.0 (Moonshot-reported)
  • 1M-context research synthesis with always-on extended thinking

Where it wins

  • AA Intelligence Index v4.1: 57.1 — #4 overall, behind only Claude Fable 5 and GPT-5.6 Sol, ahead of Claude Opus 4.8
  • FrontierSWE 81.2 and Terminal-Bench 2.0 88.3 — frontier-grade agentic coding numbers
  • Open weights (July 26, 2026) — at 2.8T parameters, the largest open-weight release in history

Where it falls down

  • Most expensive Chinese-lab model ever ($3/$15) with always-on thinking driving high output-token burn and slow responses
  • 2.8T size makes self-hosting impractical despite open weights; consumer signups were paused July 19 over GPU capacity

Skip it if

You need fast responses or predictable output costs — always-on thinking burns tokens.

Our verdict

The first Chinese model to genuinely crowd the Western frontier — #4 on aggregate intelligence ahead of Opus 4.8. The always-on thinking makes it slow and output-heavy, so cost per task runs above the sticker price. A serious Opus-class alternative if latency isn't critical.

Released July 16, 2026; open weights July 26. Cache-hit input $0.30/1M. Subscriptions: Adagio (free) to Vivace $199/mo; full 1M context only on Allegro ($99) and up. New signups paused July 19 near GPU capacity, reopening in batches.

Explore related decisions

Z.ai
GLM-5.3Same price as GLM-5.2, far stronger on agents and security.Read guide
Anthropic
Claude Fable 5New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.Read guide
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Guide
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Quick links

Browse all modelsCompare pricingView GLM-5.3View Claude Fable 5View DeepSeek V4-Flash

How we evaluate AI models

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FAQ

What is the best alternative to GLM?

Claude Fable 5 (Anthropic) is the strongest overall alternative right now. New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available. It costs $10/1M input tokens via API or comes with Claude Pro at $20/mo.

Is there a free alternative to GLM?

Kimi K3 is open-weight, so you can self-host it for free or use low-cost hosted APIs ($3/1M input). Most rival chat products also offer free tiers with usage caps.

What is the best GLM alternative for coding?

Claude Fable 5 — it scores 100/100 on coding in this directory at $10/1M input tokens.

What is the best GLM alternative for writing?

Claude Fable 5 — it scores 98/100 on writing quality and tone control.

Is GLM still worth using?

GLM's flagship GLM-5.3 now trails Claude Fable 5 on overall capability in this directory, so switching is worth a serious look if you're not locked into the ecosystem.