text model comparison
DeepSeek-V4.1-Flash vs Kimi K3
DeepSeek-V4.1-Flash and Kimi K3 are both current text models, from DeepSeek and Moonshot Kimi. DeepSeek-V4.1-Flash is 90% cheaper per 1M input tokens than Kimi K3, $0.30 vs $3. On Arena Text, DeepSeek-V4.1-Flash scores 1476 Elo and Kimi K3 1488 Elo (Arena, measured October 28, 2026). Both accept about 1.05M tokens of context (1,048,576 and 1,000,000).
- Higher Arena Text
- Kimi K31488 Elo against 1476 Elo
- Lower price per 1M input tokens
- DeepSeek-V4.1-Flash$0.30 against $3
- Longer context window
- Kimi K31.05M tokens against 1M tokens
- Newer release
- DeepSeek-V4.1-FlashSep 2026 against Jul 2026
Data verified November 3, 2026 · Dataset 2026-11-03
Side by side
DeepSeek-V4.1-Flash and Kimi K3, 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 | Kimi K3 |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $0.30 (better) | $3 |
| Price per 1M output tokens | $1.20 (better) | $15 |
| Independent benchmarks | ||
| Arena Text | 1476 Elo (#21 of 51) | 1488 Elo (#9 of 51) (better) |
| Arena WebDev | 1665 Elo (#12 of 45) (better) | 1656 Elo (#13 of 45) |
| FrontierMath Tiers 1-3 (v2) | 71.2% (#23 of 42) | 72.2% (#22 of 42) (better) |
| GPQA Diamond | 93.2% (#16 of 41) (better) | 93.1% (#17 of 41) |
| SimpleQA Verified | 42.5% (#27 of 38) | 50.6% (#20 of 38) (better) |
| Specs | ||
| Provider | DeepSeek | Moonshot Kimi |
| Release date | September 10, 2026 | July 16, 2026 |
| Access | API and open weights | API and open weights |
| Context window | 1,000,000 tokens | 1,048,576 tokens |
| Max output | 384,000 tokens | Not reported |
| Input | text, image | text, image |
| Output | text | text |
Charts
Against every current text model
Where DeepSeek-V4.1-Flash and Kimi K3 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 Kimi K3 #9 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%
Kimi K3:#9of 51
1,488 Elo · ahead of 84%
Arena WebDev
DeepSeek-V4.1-Flash:#12of 45
1,665 Elo · ahead of 75%
Kimi K3:#13of 45
1,656 Elo · ahead of 70%
FrontierMath Tiers 1-3 (v2)
DeepSeek-V4.1-Flash:#23of 42
71.2% · ahead of 46%
Kimi K3:#22of 42
72.2% · ahead of 49%
GPQA Diamond
DeepSeek-V4.1-Flash:#16of 41
93.2% · ahead of 63%
Kimi K3:#17of 41
93.1% · ahead of 60%
SimpleQA Verified
DeepSeek-V4.1-Flash:#27of 38
42.5% · ahead of 30%
Kimi K3:#20of 38
50.6% · ahead of 49%
Price and context
Price per 1M input tokens
DeepSeek-V4.1-Flash:#11of 52
$0.30 · cheaper than 75%
Kimi K3:#42of 52
$3 · cheaper than 20%
Price per 1M output tokens
DeepSeek-V4.1-Flash:#10of 52
$1.20 · cheaper than 76%
Kimi K3:#41of 52
$15 · cheaper than 20%
Context window
DeepSeek-V4.1-Flash:#26of 64
1M tokens · longer than 22%
Kimi K3:#11of 64
1.05M tokens · longer than 67%
Quality against price
DeepSeek-V4.1-Flash scores 1,476 at $0.525; Kimi K3 scores 1,488 at $6 (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, Kimi K3 costs 11 times as much as DeepSeek-V4.1-Flash, at each provider's listed rates.
10M input and 2M output tokens
Kimi K3 costs 11× as much
- DeepSeek-V4.1-Flash
- $5.40
- Kimi K3
- $60
The same, with 9M of the input tokens cached
Kimi K3 costs 13× as much
- DeepSeek-V4.1-Flash
- $2.75
- Kimi K3
- $35.70
| Workload or rate | DeepSeek-V4.1-Flash | Kimi K3 |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $5.40 (better) | $60 |
| The same, with 9M of the input tokens cached | $2.75 (better) | $35.70 |
| Other listed rates | ||
| 1M input tokens, cached | $0.006 (better) | $0.30 |
| 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 $3 and $15 per 1M tokens
- Higher Arena WebDev score, 1665 Elo vs 1656 Elo
- Higher GPQA Diamond score, 93.2% vs 93.1%
- Cheaper cached input, $0.006 vs $0.30 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
Kimi K3
Where it leads
- Higher Arena Text score, 1488 Elo vs 1476 Elo
- Higher FrontierMath Tiers 1-3 (v2) score, 72.2% vs 71.2%
- Higher SimpleQA Verified score, 50.6% vs 42.5%
Best for
- Teams that want a frontier-scale model they can also self-host, with one architecture across both paths
- Long-context work at mid-tier hosted pricing
Watch out for
- Hosted rates match Claude Sonnet 5 exactly at $3 / $15 while offering a larger context window, so the comparison turns on capability rather than price
- Running the open weights shifts cost to infrastructure, which the token rates recorded here do not represent
- Moonshot’s self-reported results place it ahead of Claude Opus 4.8 and GPT-5.5 but behind Claude Fable 5 and GPT-5.6 Sol; none of this was reproduced independently here
From benchmark to production
Building on DeepSeek-V4.1-Flash or Kimi K3?
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 Kimi K3 FAQ
Which is cheaper, DeepSeek-V4.1-Flash or Kimi K3?
DeepSeek-V4.1-Flash is 90% cheaper per 1M input tokens than Kimi K3, $0.30 vs $3. For 10M input and 2M output tokens, DeepSeek-V4.1-Flash costs $5.40 and Kimi K3 $60 at standard rates.
Which is cheaper with prompt caching, DeepSeek-V4.1-Flash or Kimi K3?
DeepSeek-V4.1-Flash charges $0.006 per 1M cached input tokens, 98% below its standard input rate, and Kimi K3 $0.30, 90% below. With 9M of 10M input tokens cached and 2M output tokens, DeepSeek-V4.1-Flash costs $2.75 and Kimi K3 $35.70.
Which scores higher on independent benchmarks, DeepSeek-V4.1-Flash or Kimi K3?
Kimi K3 leads on Arena Text, 1488 Elo to 1476 Elo; DeepSeek-V4.1-Flash leads on Arena WebDev, 1665 Elo to 1656 Elo; Kimi K3 leads on FrontierMath Tiers 1-3 (v2), 72.2% to 71.2%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, DeepSeek-V4.1-Flash or Kimi K3?
Both accept about 1.05M tokens of context (1,048,576 and 1,000,000).
Further reading
More on DeepSeek-V4.1-Flash and Kimi K3
Articles on DeepSeek-V4.1-Flash and Kimi K3
- DeepSeek V4.1 Flash 1017: What Changed and Why Chips FellOctober 19, 2026
- Qwen vs DeepSeek vs Kimi for Agents and CodingAugust 6, 2026
- Kimi K3 vs Opus 5 vs GPT-5.6 Sol: which model should you use?July 31, 2026
Related comparisons
- Claude Haiku 5.5 vs DeepSeek-V4.1-Flash
- Claude Opus 5.5 vs Kimi K3
- DeepSeek-V4.1-Flash vs GPT-6 Luna
- GPT-6 Luna vs Kimi K3
- DeepSeek-V4.1-Flash vs GPT-6 Sol
- GPT-6 Astra vs Kimi K3
- Claude Sonnet 5 vs DeepSeek-V4.1-Flash
- Gemini 3.8 Flash vs Kimi K3
- DeepSeek-V4.1-Flash vs DeepSeek-V4-Pro
- GLM-5.3 vs Kimi K3
- DeepSeek-V4.1-Flash vs Gemini 3.7 Flash
- DeepSeek-V4-Pro vs Kimi K3
Production evaluation
Choosing between DeepSeek-V4.1-Flash and Kimi K3?
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
