text model comparison
Claude Sonnet 5.5 vs GLM-5.3-Flash
Claude Sonnet 5.5 and GLM-5.3-Flash are both current text models, from Anthropic and Z.ai. GLM-5.3-Flash is 93% cheaper per 1M input tokens than Claude Sonnet 5.5, $0.15 vs $2. On Arena Text, Claude Sonnet 5.5 scores 1477 Elo and GLM-5.3-Flash 1477 Elo (Arena, measured October 28, 2026). Both accept 1,000,000 tokens of context.
- Lower price per 1M input tokens
- GLM-5.3-Flash$0.15 against $2
- Newer release
- Claude Sonnet 5.5Sep 2026 against Aug 2026
Data verified November 3, 2026 · Dataset 2026-11-03
Side by side
Claude Sonnet 5.5 and GLM-5.3-Flash, 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 Sonnet 5.5 | GLM-5.3-Flash |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $2 | $0.15 (better) |
| Price per 1M output tokens | $10 | $0.50 (better) |
| Independent benchmarks | ||
| Arena Text | 1477 Elo (#19 of 51) | 1477 Elo (#19 of 51) |
| Arena WebDev | 1770 Elo (#3 of 45) (better) | 1607 Elo (#23 of 45) |
| FrontierMath Tiers 1-3 (v2) | 88.8% (#8 of 42) (better) | 55.8% (#33 of 42) |
| GPQA Diamond | 95.6% (#3 of 41) (better) | 90.2% (#28 of 41) |
| SimpleQA Verified | 46.5% (#23 of 38) | Not measured |
| Specs | ||
| Provider | Anthropic | Z.ai |
| Release date | September 28, 2026 | August 26, 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, image, video |
| Output | text | text |
Charts
Against every current text model
Where Claude Sonnet 5.5 and GLM-5.3-Flash land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
On Arena Text, Claude Sonnet 5.5 ranks #19 and GLM-5.3-Flash #19 of 51 current models. Each bar is the share of current models it beats: on score, price and context.
Independent benchmarks
Arena Text
Claude Sonnet 5.5:#19of 51
1,477 Elo · ahead of 62%
GLM-5.3-Flash:#19of 51
1,477 Elo · ahead of 62%
Arena WebDev
Claude Sonnet 5.5:#3of 45
1,770 Elo · ahead of 95%
GLM-5.3-Flash:#23of 45
1,607 Elo · ahead of 50%
FrontierMath Tiers 1-3 (v2)
Claude Sonnet 5.5:#8of 42
88.8% · ahead of 83%
GLM-5.3-Flash:#33of 42
55.8% · ahead of 22%
GPQA Diamond
Claude Sonnet 5.5:#3of 41
95.6% · ahead of 95%
GLM-5.3-Flash:#28of 41
90.2% · ahead of 30%
SimpleQA Verified
Claude Sonnet 5.5:#23of 38
46.5% · ahead of 41%
GLM-5.3-Flash: Not scored
Price and context
Price per 1M input tokens
Claude Sonnet 5.5:#29of 52
$2 · cheaper than 24%
GLM-5.3-Flash:#5of 52
$0.15 · cheaper than 90%
Price per 1M output tokens
Claude Sonnet 5.5:#34of 52
$10 · cheaper than 25%
GLM-5.3-Flash:#3of 52
$0.50 · cheaper than 92%
Context window
Claude Sonnet 5.5:#26of 64
1M tokens · longer than 22%
GLM-5.3-Flash:#26of 64
1M tokens · longer than 22%
Quality against price
Claude Sonnet 5.5 scores 1,477 at $4; GLM-5.3-Flash scores 1,477 at $0.238 (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 Sonnet 5.5 costs 16 times as much as GLM-5.3-Flash, at each provider's listed rates.
10M input and 2M output tokens
Claude Sonnet 5.5 costs 16× as much
- Claude Sonnet 5.5
- $40
- GLM-5.3-Flash
- $2.50
The same, with 9M of the input tokens cached
Claude Sonnet 5.5 costs 16× as much
- Claude Sonnet 5.5
- $22.90
- GLM-5.3-Flash
- $1.42
| Workload or rate | Claude Sonnet 5.5 | GLM-5.3-Flash |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $40 | $2.50 (better) |
| The same, with 9M of the input tokens cached | $22.90 | $1.42 (better) |
| The same, through the batch API | $20 | Not listed |
| Other listed rates | ||
| 1M input tokens, cached | $0.10 | $0.03 (better) |
| 1M input tokens, 5-minute cache write | $2.50 | Not listed |
| 1M input tokens, 1-hour cache write | $4 | Not listed |
| 1M input tokens, batch | $1 | Not listed |
| 1M output tokens, batch | $5 | 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 Sonnet 5.5
Where it leads
- Higher Arena WebDev score, 1770 Elo vs 1607 Elo
- Higher FrontierMath Tiers 1-3 (v2) score, 88.8% vs 55.8%
- Higher GPQA Diamond score, 95.6% vs 90.2%
- Batch pricing, $1 input and $5 output per 1M tokens
Best for
- Production workloads that need frontier-adjacent quality at a mid-tier rate
- Latency-sensitive agent steps inside a larger pipeline
Watch out for
- Same list price as Claude Sonnet 5, so the gain is capability and cache economics rather than a cheaper rate card
- Anthropic positions Opus 5.5 rather than this as the default, so reach for Sonnet 5.5 when latency matters more than peak capability
GLM-5.3-Flash
Where it leads
- Lower input and output prices, $0.15 and $0.50 vs $2 and $10 per 1M tokens
- Accepts video input
- Open weights you can run yourself
- Cheaper cached input, $0.03 vs $0.10 per 1M tokens
Best for
- Low-cost coding from screenshots or screen recordings
- Document and research agents on a budget
Watch out for
- Thinking cannot be disabled
- A faster GLM-5.3-FlashX is a separate model id at $0.37 input and $1.25 output per 1M tokens
From benchmark to production
Building on Claude Sonnet 5.5 or GLM-5.3-Flash?
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 Sonnet 5.5 vs GLM-5.3-Flash FAQ
Which is cheaper, Claude Sonnet 5.5 or GLM-5.3-Flash?
GLM-5.3-Flash is 93% cheaper per 1M input tokens than Claude Sonnet 5.5, $0.15 vs $2. For 10M input and 2M output tokens, Claude Sonnet 5.5 costs $40 and GLM-5.3-Flash $2.50 at standard rates.
Which is cheaper with prompt caching, Claude Sonnet 5.5 or GLM-5.3-Flash?
Claude Sonnet 5.5 charges $0.10 per 1M cached input tokens, 95% below its standard input rate, and GLM-5.3-Flash $0.03, 80% below. With 9M of 10M input tokens cached and 2M output tokens, Claude Sonnet 5.5 costs $22.90 and GLM-5.3-Flash $1.42.
Which scores higher on independent benchmarks, Claude Sonnet 5.5 or GLM-5.3-Flash?
Both score 1477 Elo on Arena Text; Claude Sonnet 5.5 leads on Arena WebDev, 1770 Elo to 1607 Elo; Claude Sonnet 5.5 leads on FrontierMath Tiers 1-3 (v2), 88.8% to 55.8%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, Claude Sonnet 5.5 or GLM-5.3-Flash?
Both accept 1,000,000 tokens of context. Both return up to 128,000 tokens per response.
How do Claude Sonnet 5.5 and GLM-5.3-Flash differ in features?
Claude Sonnet 5.5 takes text and image input; GLM-5.3-Flash takes text, image and video.
Can I run Claude Sonnet 5.5 or GLM-5.3-Flash myself?
GLM-5.3-Flash is released as open weights you can run yourself; Claude Sonnet 5.5 is available through its provider's API only.
Further reading
More on Claude Sonnet 5.5 and GLM-5.3-Flash
Articles on Claude Sonnet 5.5 and GLM-5.3-Flash
- Claude Sonnet 5.5 vs GPT-6 Luna: Cost, Speed and AccuracySeptember 29, 2026
- Claude Sonnet 5.5: Benchmarks, Price and When to Use OpusSeptember 29, 2026
Related comparisons
- Claude Sonnet 5.5 vs Gemini 4 Argon
- Claude Haiku 5.5 vs GLM-5.3-Flash
- Claude Sonnet 5.5 vs GPT-6.1 Sol
- GLM-5.3-Flash vs GPT-6 Luna
- Claude Sonnet 5.5 vs Gemini 3.8 Flash
- GLM-5.3-Flash vs GPT-6 Sol
- Claude Sonnet 5.5 vs GPT-5.4
- DeepSeek-V4.1-Flash vs GLM-5.3-Flash
- Claude Sonnet 5.5 vs GPT-6 Luna
- GLM-5.3-Flash vs GPT-6 Astra
- Claude Sonnet 5.5 vs GPT-6 Sol
- Gemini 3.8 Flash vs GLM-5.3-Flash
Production evaluation
Choosing between Claude Sonnet 5.5 and GLM-5.3-Flash?
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
