text model comparison
GLM-5.3-Flash vs LongCat-2.5
GLM-5.3-Flash and LongCat-2.5 are both current text models, from Z.ai and Meituan. GLM-5.3-Flash is 50% cheaper per 1M input tokens than LongCat-2.5, $0.15 vs $0.30. Both accept about 1.05M tokens of context (1,048,576 and 1,000,000).
- Lower price per 1M input tokens
- GLM-5.3-Flash$0.15 against $0.30
- Longer context window
- LongCat-2.51.05M tokens against 1M tokens
- Newer release
- LongCat-2.5Nov 2026 against Aug 2026
Data verified November 3, 2026 · Dataset 2026-11-03
Side by side
GLM-5.3-Flash and LongCat-2.5, 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 | GLM-5.3-Flash | LongCat-2.5 |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $0.15 (better) | $0.30 |
| Price per 1M output tokens | $0.50 (better) | $1.20 |
| Independent benchmarks | ||
| Arena Text | 1477 Elo (#19 of 51) | Not measured |
| Arena WebDev | 1607 Elo (#23 of 45) | Not measured |
| FrontierMath Tiers 1-3 (v2) | 55.8% (#33 of 42) | Not measured |
| GPQA Diamond | 90.2% (#28 of 41) | Not measured |
| Specs | ||
| Provider | Z.ai | Meituan |
| Release date | August 26, 2026 | November 2, 2026 |
| Access | API and open weights | API only |
| Context window | 1,000,000 tokens | 1,048,576 tokens |
| Max output | 128,000 tokens | 262,144 tokens |
| Input | text, image, video | text, image, video |
| Output | text | text |
No independent benchmark has scored both models yet. Each rank counts the current models scored on that benchmark.
Charts
Against every current text model
Where GLM-5.3-Flash and LongCat-2.5 land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
Only GLM-5.3-Flash has a current Arena Text score: #19 of 51. Each bar is the share of current models it beats.
Independent benchmarks
Arena Text
GLM-5.3-Flash:#19of 51
1,477 Elo · ahead of 62%
LongCat-2.5: Not scored
Arena WebDev
GLM-5.3-Flash:#23of 45
1,607 Elo · ahead of 50%
LongCat-2.5: Not scored
FrontierMath Tiers 1-3 (v2)
GLM-5.3-Flash:#33of 42
55.8% · ahead of 22%
LongCat-2.5: Not scored
GPQA Diamond
GLM-5.3-Flash:#28of 41
90.2% · ahead of 30%
LongCat-2.5: Not scored
Price and context
Price per 1M input tokens
GLM-5.3-Flash:#5of 52
$0.15 · cheaper than 90%
LongCat-2.5:#11of 52
$0.30 · cheaper than 75%
Price per 1M output tokens
GLM-5.3-Flash:#3of 52
$0.50 · cheaper than 92%
LongCat-2.5:#10of 52
$1.20 · cheaper than 76%
Context window
GLM-5.3-Flash:#26of 64
1M tokens · longer than 22%
LongCat-2.5:#11of 64
1.05M tokens · longer than 67%
Quality against price
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, LongCat-2.5 costs 2.2 times as much as GLM-5.3-Flash, at each provider's listed rates.
10M input and 2M output tokens
LongCat-2.5 costs 2.2× as much
- GLM-5.3-Flash
- $2.50
- LongCat-2.5
- $5.40
The same, with 9M of the input tokens cached
LongCat-2.5 costs 1.9× as much
- GLM-5.3-Flash
- $1.42
- LongCat-2.5
- $2.75
| Workload or rate | GLM-5.3-Flash | LongCat-2.5 |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $2.50 (better) | $5.40 |
| The same, with 9M of the input tokens cached | $1.42 (better) | $2.75 |
| Other listed rates | ||
| 1M input tokens, cached | $0.03 | $0.006 (better) |
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
GLM-5.3-Flash
Where it leads
- Lower input and output prices, $0.15 and $0.50 vs $0.30 and $1.20 per 1M tokens
- Open weights you can run yourself
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
LongCat-2.5
Where it leads
- Longer responses, up to 262,144 vs 128,000 output tokens
- Cheaper cached input, $0.006 vs $0.03 per 1M tokens
Best for
- Coding agents working through whole projects in Claude Code, Codex or similar harnesses
- Visual coding and design work that mixes screenshots or screen recordings with code
Watch out for
- The recorded rates are a limited-time discount: Meituan publishes no list price and no end date
- API only: no weights had been published when this record was made
- Released on 2 November 2026, so no independent benchmark score is recorded here yet
From benchmark to production
Building on GLM-5.3-Flash or LongCat-2.5?
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
GLM-5.3-Flash vs LongCat-2.5 FAQ
Which is cheaper, GLM-5.3-Flash or LongCat-2.5?
GLM-5.3-Flash is 50% cheaper per 1M input tokens than LongCat-2.5, $0.15 vs $0.30. For 10M input and 2M output tokens, GLM-5.3-Flash costs $2.50 and LongCat-2.5 $5.40 at standard rates.
Which is cheaper with prompt caching, GLM-5.3-Flash or LongCat-2.5?
GLM-5.3-Flash charges $0.03 per 1M cached input tokens, 80% below its standard input rate, and LongCat-2.5 $0.006, 98% below. With 9M of 10M input tokens cached and 2M output tokens, GLM-5.3-Flash costs $1.42 and LongCat-2.5 $2.75.
Which has the larger context window, GLM-5.3-Flash or LongCat-2.5?
Both accept about 1.05M tokens of context (1,048,576 and 1,000,000). LongCat-2.5 returns up to 262,144 tokens per response, GLM-5.3-Flash 128,000.
Can I run GLM-5.3-Flash or LongCat-2.5 myself?
GLM-5.3-Flash is released as open weights you can run yourself; LongCat-2.5 is available through its provider's API only.
Further reading
More on GLM-5.3-Flash and LongCat-2.5
Articles on GLM-5.3-Flash and LongCat-2.5
- LongCat-2.5 vs Claude Opus 5: Read the Benchmarks FirstNovember 4, 2026
Related comparisons
- Claude Haiku 5.5 vs GLM-5.3-Flash
- Claude Opus 5 vs LongCat-2.5
- GLM-5.3-Flash vs Mistral Large 4
- DeepSeek-V4.1-Flash vs LongCat-2.5
- Claude Sonnet 5.5 vs GLM-5.3-Flash
- Gemini 3.1 Flash-Lite vs LongCat-2.5
- GLM-5.3-Flash vs GPT-6 Luna
- Gemini 3.5 Flash-Lite vs LongCat-2.5
- GLM-5.3-Flash vs GPT-6 Sol
- GLM-5.3 vs LongCat-2.5
- DeepSeek-V4.1-Flash vs GLM-5.3-Flash
- LongCat-2.5 vs MiMo-V2.6-Flash
Production evaluation
Choosing between GLM-5.3-Flash and LongCat-2.5?
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
