text model comparison
Claude Opus 5.5 vs GLM-5.3
Claude Opus 5.5 and GLM-5.3 are both current text models, from Anthropic and Z.ai. GLM-5.3 is 65% cheaper per 1M input tokens than Claude Opus 5.5, $1.40 vs $4. On Arena Text, Claude Opus 5.5 scores 1509 Elo and GLM-5.3 1481 Elo (Arena, measured October 28, 2026). Both accept 1,000,000 tokens of context.
- Higher Arena Text
- Claude Opus 5.51509 Elo against 1481 Elo
- Lower price per 1M input tokens
- GLM-5.3$1.40 against $4
- Newer release
- Claude Opus 5.5Sep 2026 against Aug 2026
Data verified November 3, 2026 · Dataset 2026-11-03
Side by side
Claude Opus 5.5 and GLM-5.3, line by line
Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.
| Fact | Claude Opus 5.5 | GLM-5.3 |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $4 | $1.40 (better) |
| Price per 1M output tokens | $20 | $4.40 (better) |
| Independent benchmarks | ||
| Arena Text | 1509 Elo (#2 of 51) (better) | 1481 Elo (#16 of 51) |
| Arena WebDev | 1810 Elo (#1 of 45) (better) | 1623 Elo (#21 of 45) |
| FrontierMath Tiers 1-3 (v2) | 91.2% (#3 of 42) (better) | 68.8% (#25 of 42) |
| GPQA Diamond | 90.6% (#25 of 41) | 90.9% (#23 of 41) (better) |
| SimpleQA Verified | 72.2% (#5 of 38) (better) | 41% (#29 of 38) |
| Specs | ||
| Provider | Anthropic | Z.ai |
| Release date | September 22, 2026 | August 18, 2026 |
| Access | API only | API and open weights |
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Max output | 128,000 tokens | 128,000 tokens |
| Input | text, image | text |
| Output | text | text |
Charts
Against every current text model
Where Claude Opus 5.5 and GLM-5.3 land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
On Arena Text, Claude Opus 5.5 ranks #2 and GLM-5.3 #16 of 51 current models. Each bar is the share of current models it beats: on score, price and context.
Independent benchmarks
Arena Text
Claude Opus 5.5:#2of 51
1,509 Elo · ahead of 98%
GLM-5.3:#16of 51
1,481 Elo · ahead of 68%
Arena WebDev
Claude Opus 5.5:#1of 45
1,810 Elo · ahead of 100%
GLM-5.3:#21of 45
1,623 Elo · ahead of 55%
FrontierMath Tiers 1-3 (v2)
Claude Opus 5.5:#3of 42
91.2% · ahead of 95%
GLM-5.3:#25of 42
68.8% · ahead of 41%
GPQA Diamond
Claude Opus 5.5:#25of 41
90.6% · ahead of 40%
GLM-5.3:#23of 41
90.9% · ahead of 45%
SimpleQA Verified
Claude Opus 5.5:#5of 38
72.2% · ahead of 89%
GLM-5.3:#29of 38
41% · ahead of 22%
Price and context
Price per 1M input tokens
Claude Opus 5.5:#43of 52
$4 · cheaper than 14%
GLM-5.3:#27of 52
$1.40 · cheaper than 49%
Price per 1M output tokens
Claude Opus 5.5:#43of 52
$20 · cheaper than 14%
GLM-5.3:#26of 52
$4.40 · cheaper than 51%
Context window
Claude Opus 5.5:#26of 64
1M tokens · longer than 22%
GLM-5.3:#26of 64
1M tokens · longer than 22%
Quality against price
Claude Opus 5.5 scores 1,509 at $8; GLM-5.3 scores 1,481 at $2.15 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.
Quality against price: the data
| Model | Provider | Blended price per 1M tokens | Arena Text (Elo) |
|---|---|---|---|
| Gemini 4 Argon | $4 | 1,520 | |
| Claude Opus 5.5 | Anthropic | $8 | 1,509 |
| Muse Wonder | Meta | $8 | 1,507 |
| Claude Fable 5 | Anthropic | $20 | 1,504 |
| Claude Fable 5.1 | Anthropic | $20 | 1,504 |
| Gemini 3.8 Flash | $1.50 | 1,496 | |
| Muse Spark 1.3 | Meta | $2 | 1,495 |
| Claude Opus 5 | Anthropic | $10 | 1,492 |
| Kimi K3 | Moonshot Kimi | $6 | 1,488 |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| Gemini 3.6 Flash | $3 | 1,483 | |
| GPT-5.5 | OpenAI | $11 | 1,482 |
| Claude Opus 4.8 | Anthropic | $10 | 1,482 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,482 |
| GPT-6.1 Sol | OpenAI | $4 | 1,481 |
| GLM-5.3 | Z.ai | $2.15 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,477 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,477 |
| GPT-6 Astra | OpenAI | $20 | 1,476 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,476 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| Gemini 3 Flash Preview | $1.13 | 1,473 | |
| Grok 4.20 | xAI | $1.56 | 1,472 |
| GPT-5.6 Terra | OpenAI | $4.50 | 1,467 |
| Grok 4.5 | xAI | $3 | 1,465 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,465 |
| Claude Sonnet 5 | Anthropic | $4 | 1,462 |
| GPT-6 Sol | OpenAI | $4 | 1,458 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,456 | |
| Grok 4.6 | xAI | $3 | 1,455 |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,453 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,448 |
| Step 5 Preview | StepFun | $1.43 | 1,448 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| GPT-6 Luna | OpenAI | $0.20 | 1,441 |
| Grok 4.7 | xAI | $3 | 1,441 |
| Mistral Large 4 | Mistral AI | $1.05 | 1,432 |
| Claude Haiku 5.5 | Anthropic | $0.20 | 1,425 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Solar Pro 4 | Upstage | $0.52 | 1,388 |
| GPT-4.1 mini | OpenAI | $0.70 | 1,383 |
| GPT-4.1 nano | OpenAI | $0.18 | 1,322 |
Cost
What each costs
Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.
The same work, priced
For 10M input and 2M output tokens, Claude Opus 5.5 costs 3.5 times as much as GLM-5.3, at each provider's listed rates.
10M input and 2M output tokens
Claude Opus 5.5 costs 3.5× as much
- Claude Opus 5.5
- $80
- GLM-5.3
- $22.80
The same, with 9M of the input tokens cached
Claude Opus 5.5 costs 3.7× as much
- Claude Opus 5.5
- $45.80
- GLM-5.3
- $12.54
| Workload or rate | Claude Opus 5.5 | GLM-5.3 |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $80 | $22.80 (better) |
| The same, with 9M of the input tokens cached | $45.80 | $12.54 (better) |
| The same, through the batch API | $40 | Not listed |
| Other listed rates | ||
| 1M input tokens, cached | $0.20 (better) | $0.26 |
| 1M input tokens, 5-minute cache write | $5 | Not listed |
| 1M input tokens, 1-hour cache write | $8 | Not listed |
| 1M input tokens, batch | $2 | Not listed |
| 1M output tokens, batch | $10 | Not listed |
Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.
Launch price $100, regular price $150
Verdict
When to choose each
Claude Opus 5.5
Where it leads
- Higher Arena Text score, 1509 Elo vs 1481 Elo
- Higher Arena WebDev score, 1810 Elo vs 1623 Elo
- Higher FrontierMath Tiers 1-3 (v2) score, 91.2% vs 68.8%
- Higher SimpleQA Verified score, 72.2% vs 41%
- Accepts image input
- Cheaper cached input, $0.20 vs $0.26 per 1M tokens
- Batch pricing, $2 input and $10 output per 1M tokens
Best for
- Long-running agentic coding and knowledge work as the general-purpose default
- Cache-heavy agent loops where the 0.05x read multiplier compounds
Watch out for
- The API effort default is medium here, not high as on Claude Fable 5.1 and Claude Sonnet 5.5, so a like-for-like comparison has to set effort explicitly
- The 4.7-generation tokenizer produces roughly 30% more tokens for the same text than Claude Sonnet 4.6 and earlier, so per-token rates do not compare directly across generations
GLM-5.3
Where it leads
- Lower input and output prices, $1.40 and $4.40 vs $4 and $20 per 1M tokens
- Higher GPQA Diamond score, 90.9% vs 90.6%
- Open weights you can run yourself
Best for
- Long-horizon agentic coding
- Self-hosted reasoning with permissive weights
Watch out for
- Text input only, and reasoning cannot be turned off: requests that disable thinking fail
- The licence requires a Z.ai security review before very large model-as-a-service operators use it commercially
From benchmark to production
Building on Claude Opus 5.5 or GLM-5.3?
Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.
AI Model Cost AuditLaunch price $100, regular price $150What the audit includes
FAQ
Claude Opus 5.5 vs GLM-5.3 FAQ
Which is cheaper, Claude Opus 5.5 or GLM-5.3?
GLM-5.3 is 65% cheaper per 1M input tokens than Claude Opus 5.5, $1.40 vs $4. For 10M input and 2M output tokens, Claude Opus 5.5 costs $80 and GLM-5.3 $22.80 at standard rates.
Which is cheaper with prompt caching, Claude Opus 5.5 or GLM-5.3?
Claude Opus 5.5 charges $0.20 per 1M cached input tokens, 95% below its standard input rate, and GLM-5.3 $0.26, 81% below. With 9M of 10M input tokens cached and 2M output tokens, Claude Opus 5.5 costs $45.80 and GLM-5.3 $12.54.
Which scores higher on independent benchmarks, Claude Opus 5.5 or GLM-5.3?
Claude Opus 5.5 leads on Arena Text, 1509 Elo to 1481 Elo; Claude Opus 5.5 leads on Arena WebDev, 1810 Elo to 1623 Elo; Claude Opus 5.5 leads on FrontierMath Tiers 1-3 (v2), 91.2% to 68.8%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, Claude Opus 5.5 or GLM-5.3?
Both accept 1,000,000 tokens of context. Both return up to 128,000 tokens per response.
How do Claude Opus 5.5 and GLM-5.3 differ in features?
Claude Opus 5.5 takes text and image input; GLM-5.3 takes text.
Can I run Claude Opus 5.5 or GLM-5.3 myself?
GLM-5.3 is released as open weights you can run yourself; Claude Opus 5.5 is available through its provider's API only.
Further reading
More on Claude Opus 5.5 and GLM-5.3
Articles on Claude Opus 5.5 and GLM-5.3
- GDPval-AA Chart Fact-Check: Opus 5.5 vs GPT-6 Astra on CostSeptember 24, 2026
- GPT-6 Sol vs Claude Opus 5.5, Plus Luna: Best Value per TaskSeptember 24, 2026
- Claude Opus 5.5 Benchmarks: What the Chart Shows and HidesSeptember 23, 2026
- Claude Opus 5.5: Tops the Independent Index at a Lower PriceSeptember 23, 2026
Related comparisons
- Claude Haiku 5.5 vs Claude Opus 5.5
- GLM-5.3 vs Mistral Large 4
- Claude Opus 5.5 vs Mistral Large 4
- DeepSeek-V4.1-Flash vs GLM-5.3
- Claude Opus 5.5 vs Gemini 4 Argon
- Gemini 3.8 Flash vs GLM-5.3
- Claude Opus 5.5 vs GPT-6.1 Sol
- DeepSeek-V4-Pro vs GLM-5.3
- Claude Opus 5.5 vs Claude Sonnet 5.5
- Gemini 3.6 Flash vs GLM-5.3
- Claude Fable 5 vs Claude Opus 5.5
- GLM-5.3 vs Grok 4.20
Production evaluation
Choosing between Claude Opus 5.5 and GLM-5.3?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty
