text model comparison
DeepSeek-V4.1-Flash vs GLM-5.3
DeepSeek-V4.1-Flash and GLM-5.3 are both current text models, from DeepSeek and Z.ai. DeepSeek-V4.1-Flash is 79% cheaper per 1M input tokens than GLM-5.3, $0.30 vs $1.40. On Arena Text, DeepSeek-V4.1-Flash scores 1476 Elo and GLM-5.3 1481 Elo (Arena, measured October 28, 2026). Both accept 1,000,000 tokens of context.
- Higher Arena Text
- GLM-5.31481 Elo against 1476 Elo
- Lower price per 1M input tokens
- DeepSeek-V4.1-Flash$0.30 against $1.40
- Newer release
- DeepSeek-V4.1-FlashSep 2026 against Aug 2026
Data verified November 3, 2026 · Dataset 2026-11-03
Side by side
DeepSeek-V4.1-Flash 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 | DeepSeek-V4.1-Flash | GLM-5.3 |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $0.30 (better) | $1.40 |
| Price per 1M output tokens | $1.20 (better) | $4.40 |
| Independent benchmarks | ||
| Arena Text | 1476 Elo (#21 of 51) | 1481 Elo (#16 of 51) (better) |
| Arena WebDev | 1665 Elo (#12 of 45) (better) | 1623 Elo (#21 of 45) |
| FrontierMath Tiers 1-3 (v2) | 71.2% (#23 of 42) (better) | 68.8% (#25 of 42) |
| GPQA Diamond | 93.2% (#16 of 41) (better) | 90.9% (#23 of 41) |
| SimpleQA Verified | 42.5% (#27 of 38) (better) | 41% (#29 of 38) |
| Specs | ||
| Provider | DeepSeek | Z.ai |
| Release date | September 10, 2026 | August 18, 2026 |
| Access | API and open weights | API and open weights |
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Max output | 384,000 tokens | 128,000 tokens |
| Input | text, image | text |
| Output | text | text |
Charts
Against every current text model
Where DeepSeek-V4.1-Flash 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, DeepSeek-V4.1-Flash ranks #21 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
DeepSeek-V4.1-Flash:#21of 51
1,476 Elo · ahead of 58%
GLM-5.3:#16of 51
1,481 Elo · ahead of 68%
Arena WebDev
DeepSeek-V4.1-Flash:#12of 45
1,665 Elo · ahead of 75%
GLM-5.3:#21of 45
1,623 Elo · ahead of 55%
FrontierMath Tiers 1-3 (v2)
DeepSeek-V4.1-Flash:#23of 42
71.2% · ahead of 46%
GLM-5.3:#25of 42
68.8% · ahead of 41%
GPQA Diamond
DeepSeek-V4.1-Flash:#16of 41
93.2% · ahead of 63%
GLM-5.3:#23of 41
90.9% · ahead of 45%
SimpleQA Verified
DeepSeek-V4.1-Flash:#27of 38
42.5% · ahead of 30%
GLM-5.3:#29of 38
41% · ahead of 22%
Price and context
Price per 1M input tokens
DeepSeek-V4.1-Flash:#11of 52
$0.30 · cheaper than 75%
GLM-5.3:#27of 52
$1.40 · cheaper than 49%
Price per 1M output tokens
DeepSeek-V4.1-Flash:#10of 52
$1.20 · cheaper than 76%
GLM-5.3:#26of 52
$4.40 · cheaper than 51%
Context window
DeepSeek-V4.1-Flash:#26of 64
1M tokens · longer than 22%
GLM-5.3:#26of 64
1M tokens · longer than 22%
Quality against price
DeepSeek-V4.1-Flash scores 1,476 at $0.525; 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, GLM-5.3 costs 4.2 times as much as DeepSeek-V4.1-Flash, at each provider's listed rates.
10M input and 2M output tokens
GLM-5.3 costs 4.2× as much
- DeepSeek-V4.1-Flash
- $5.40
- GLM-5.3
- $22.80
The same, with 9M of the input tokens cached
GLM-5.3 costs 4.6× as much
- DeepSeek-V4.1-Flash
- $2.75
- GLM-5.3
- $12.54
| Workload or rate | DeepSeek-V4.1-Flash | GLM-5.3 |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $5.40 (better) | $22.80 |
| The same, with 9M of the input tokens cached | $2.75 (better) | $12.54 |
| Other listed rates | ||
| 1M input tokens, cached | $0.006 (better) | $0.26 |
| 1M input tokens, off peak | $0.15 | Not listed |
| 1M output tokens, off peak | $0.60 | Not listed |
| 1M input tokens, off-peak, cached | $0.003 | 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
DeepSeek-V4.1-Flash
Where it leads
- Lower input and output prices, $0.30 and $1.20 vs $1.40 and $4.40 per 1M tokens
- Higher Arena WebDev score, 1665 Elo vs 1623 Elo
- Higher FrontierMath Tiers 1-3 (v2) score, 71.2% vs 68.8%
- Higher GPQA Diamond score, 93.2% vs 90.9%
- Higher SimpleQA Verified score, 42.5% vs 41%
- Longer responses, up to 384,000 vs 128,000 output tokens
- Accepts image input
- Cheaper cached input, $0.006 vs $0.26 per 1M tokens
Best for
- High-volume agent and multimodal workloads where per-token cost dominates
- Teams that want a frontier-adjacent model they can also self-host under MIT terms
Watch out for
- The recorded API rates are the peak-hour prices; DeepSeek charges half outside 01:00-04:00 and 06:00-10:00 UTC on weekdays
- Running the open weights moves cost to your own infrastructure, which the token rates here do not represent
- Epoch AI and Arena WebDev scored build 1017, which the API serves; Arena Text has rated only the September build so far
GLM-5.3
Where it leads
- Higher Arena Text score, 1481 Elo vs 1476 Elo
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 DeepSeek-V4.1-Flash 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
DeepSeek-V4.1-Flash vs GLM-5.3 FAQ
Which is cheaper, DeepSeek-V4.1-Flash or GLM-5.3?
DeepSeek-V4.1-Flash is 79% cheaper per 1M input tokens than GLM-5.3, $0.30 vs $1.40. For 10M input and 2M output tokens, DeepSeek-V4.1-Flash costs $5.40 and GLM-5.3 $22.80 at standard rates.
Which is cheaper with prompt caching, DeepSeek-V4.1-Flash or GLM-5.3?
DeepSeek-V4.1-Flash charges $0.006 per 1M cached input tokens, 98% below its standard input rate, and GLM-5.3 $0.26, 81% below. With 9M of 10M input tokens cached and 2M output tokens, DeepSeek-V4.1-Flash costs $2.75 and GLM-5.3 $12.54.
Which scores higher on independent benchmarks, DeepSeek-V4.1-Flash or GLM-5.3?
GLM-5.3 leads on Arena Text, 1481 Elo to 1476 Elo; DeepSeek-V4.1-Flash leads on Arena WebDev, 1665 Elo to 1623 Elo; DeepSeek-V4.1-Flash leads on FrontierMath Tiers 1-3 (v2), 71.2% to 68.8%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, DeepSeek-V4.1-Flash or GLM-5.3?
Both accept 1,000,000 tokens of context. DeepSeek-V4.1-Flash returns up to 384,000 tokens per response, GLM-5.3 128,000.
How do DeepSeek-V4.1-Flash and GLM-5.3 differ in features?
DeepSeek-V4.1-Flash takes text and image input; GLM-5.3 takes text.
Further reading
More on DeepSeek-V4.1-Flash and GLM-5.3
Articles on DeepSeek-V4.1-Flash and GLM-5.3
- DeepSeek V4.1 Flash 1017: What Changed and Why Chips FellOctober 19, 2026
Related comparisons
- Claude Haiku 5.5 vs DeepSeek-V4.1-Flash
- GLM-5.3 vs Mistral Large 4
- DeepSeek-V4.1-Flash vs GPT-6 Luna
- Claude Opus 5.5 vs GLM-5.3
- DeepSeek-V4.1-Flash vs GPT-6 Sol
- Gemini 3.8 Flash vs GLM-5.3
- Claude Sonnet 5 vs DeepSeek-V4.1-Flash
- DeepSeek-V4-Pro vs GLM-5.3
- DeepSeek-V4.1-Flash vs DeepSeek-V4-Pro
- Gemini 3.6 Flash vs GLM-5.3
- DeepSeek-V4.1-Flash vs Gemini 3.7 Flash
- GLM-5.3 vs Grok 4.20
Production evaluation
Choosing between DeepSeek-V4.1-Flash 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
