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Home/Cheapest AI for Coding
Top recommendationDeveloper Pricing

Cheapest AI for Coding

DeepSeek V4.1 Flash is the best cheap AI for coding in October 2026. It costs about $0.30/$1.20 per million tokens on hosted APIs, its weights are MIT-licensed, and DeepSeek says it beats its own V4-Pro flagship on coding — a claim not yet independently verified. Cheaper still, Qwen 3.8 Flash ($0.15/$0.47) and GLM-5.3 Flash ($0.15/$0.50) are capable open-weight coders for simpler tasks. Every cheap coder needs review before its code ships.

Last verified Oct 10, 2026/Model data modified Oct 10, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
DeepSeekBudget
Input cost
$0.30/1M
Context
1.0M tokens
Speed
Fast

Clear recommendation block

The safest coding default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.

Best overall model

DeepSeek V4.1 Flash

View
Why this recommendation

DeepSeek V4.1 Flash is the strongest answer here for coding — pick it when quality of output matters more than the $0.30/1M/1M input you pay for it.

DeepSeekBudget
Best for
Cheap coding and agent work with open weights
Price
$0.30/1M
Context
1.0M tokens
Best value model

Claude Haiku 5.5

View
Why this recommendation

Claude Haiku 5.5 handles the same job for about 60% less per token. Start here and only move up if the output is not good enough.

AnthropicBudget
Best for
High-volume tool use, sub-agents and everyday tasks on a tight budget
Price
$0.10/1M
Context
1M tokens
Best for speed

Qwen 3.8 Flash

View
Why this recommendation

Qwen 3.8 Flash is the fastest of these for coding — worth it when latency is what the reader notices, not the last few points of reasoning depth.

AlibabaBudget
Best for
Cheap high-throughput coding and reasoning
Price
$0.15/1M
Context
991k tokens

Why this page recommends it

DeepSeek V4.1 Flash is the best cheap coding model, at about $0.30/$1.20 with open weights.

Qwen 3.8 Flash and GLM-5.3 Flash are cheaper still at about $0.15 per million input tokens.

Kimi K2.7 Code is a coding specialist built for token efficiency in agent loops.

Decision notes

Choose DeepSeek V4.1 Flash for budget engineering throughput on real codebases.

Choose Qwen 3.8 Flash or GLM-5.3 Flash for tests, boilerplate and simple scripts at the lowest price.

Choose Claude Haiku 5.5 when you want a closed model with predictable behaviour from a major lab.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the coding answer changes when cost, speed, or long-document depth leads the decision.

#1DeepSeek V4.1 Flash85 pts
#2Claude Haiku 5.583 pts
#3GLM-5.3 Flash82 pts
#4Qwen 3.8 Flash79 pts
#5Kimi K2.7 Code73 pts
Quality first

DeepSeek V4.1 Flash

DeepSeek / Budget / Oct 10, 2026

85

DeepSeek's open, cheap new default — V4-Pro now routes to it.

Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.

Cost
$0.30/1M
$1.20/1M out
Speed
Fast
4/5 score
Context
1.0M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You need long single outputs (32K cap) or independently verified scores before you commit.

Recommended comparisons

Where the coding recommendation shifts once you weigh price or latency differently.

DeepSeekBudgetTop recommendation

DeepSeek V4.1 Flash

DeepSeek's open, cheap new default — V4-Pro now routes to it.

Best use case
Cheap coding and agent work with open weights
Input
$0.30/1M
Pricing
Budget
Speed
Fast
Context
1.0M tokens
Open weightsBudgetCoding
AlibabaBudgetOption 2

Qwen 3.8 Flash

SWE-bench Pro 62.5 at sixteen cents per million input.

Best use case
Cheap high-throughput coding and reasoning
Input
$0.15/1M
Pricing
Budget
Speed
Very fast
Context
991k tokens
Open weightsBudgetCoding
Z.aiBudgetOption 3

GLM-5.3 Flash

Native vision and video, MIT weights, fifteen cents per million.

Best use case
Cheap multimodal work at scale on MIT-licensed weights
Input
$0.15/1M
Pricing
Budget
Speed
Fast
Context
1M tokens
Open weightsMultimodalBudget
MoonshotBudgetOption 4

Kimi K2.7 Code

Value coding specialist — 1T MoE agentic coder at budget prices.

Best use case
Cost-efficient agentic coding
Input
$0.95/1M
Pricing
Budget
Speed
Fast
Context
256k tokens
Open weightsCodingBudget
AnthropicBudgetOption 5

Claude Haiku 5.5

Anthropic's budget model, now with adjustable reasoning, at $0.10/$0.50.

Best use case
High-volume tool use, sub-agents and everyday tasks on a tight budget
Input
$0.10/1M
Pricing
Budget
Speed
Very fast
Context
1M tokens
BudgetFastHigh volume

Side-by-side specs

List prices and published scores — the numbers this page's pick is built from.

ModelInputOutputEst. monthContextSpeedCodingWritingResearch
DeepSeek V4.1 FlashDeepSeek$0.30/1M$1.20/1M$5.401.0M tokensFast898383
Qwen 3.8 FlashAlibaba$0.15/1M$0.47/1M$2.44991k tokensVery fast847678
GLM-5.3 FlashZ.ai$0.15/1M$0.50/1M$2.501M tokensFast827678
Kimi K2.7 CodeMoonshot$0.95/1M$4.00/1M$18256k tokensFast886870

Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.

The case for each model

Why each one is on the shortlist for coding, what it is genuinely good at, and where we would steer you away from it.

DeepSeek V4.1 Flash

Top recommendationDeepSeek

Ranked first here for coding: 89/100 on coding, with the widest margin of anything in this line-up.

DeepSeek's September 10, 2026 release, now its top API model: a natively multimodal, MIT-licensed model with 1M context that DeepSeek says beats its own V4-Pro on coding and agent work — V4-Pro traffic has been routed to it since September 14.

Input
$0.30/1M
Output
$1.20/1M
Context
1.0M tokens
Speed
Fast

What people actually use it for

  • High-volume coding assistance where review catches what the model misses
  • Self-hosted deployments — the weights are on Hugging Face under the MIT licence
  • Image understanding without a separate vision model

Where it wins

  • MIT-licensed weights: download, modify and self-host
  • 1M context with native image input, at roughly $0.30/$1.20 per 1M on the gateway
  • Adjustable reasoning effort to trade accuracy against cost

Where it falls down

  • DeepSeek's coding claims are self-reported and not yet independently verified; it trails on hard reasoning by DeepSeek's own account
  • Price varies by host and by time of day — check the rate you will actually pay
  • 32K max output on the gateway

Skip it if

You need long single outputs (32K cap) or independently verified scores before you commit.

Our verdict

DeepSeek's current flagship in practice, since V4-Pro requests now run on it. Cheap and open, with coding claims that still need independent confirmation. A strong pick for self-hosting or budget pipelines with review.

Full pricing, benchmark table and release notes on the DeepSeek V4.1 Flash page.

Qwen 3.8 Flash

Alibaba

Here for latency: it answers fastest of anything listed for coding, at 84/100 on coding.

Alibaba's preview of the Qwen4 architecture — 125B parameters with only 6B active per token, at sixteen cents per million input.

Input
$0.15/1M
Output
$0.47/1M
Context
991k tokens
Speed
Very fast

What people actually use it for

  • Volume coding work where SWE-bench Pro 62.5 is enough and cost per token dominates
  • Near-1M-context document processing at budget-tier rates
  • Self-hosted inference on modest hardware thanks to 6B active parameters per token

Where it wins

  • SWE-bench Pro 62.5 — competitive with models several times its price
  • Only 6B active parameters per token from a 125B mixture-of-experts, so throughput is high and hosting is cheap
  • 991K context window at $0.16/$0.47

Where it falls down

  • No published SWE-bench Verified score, only SWE-bench Pro
  • An architecture preview rather than a settled flagship — Qwen 3.8 Max remains Alibaba's top-end model

Skip it if

You need Alibaba's maximum capability — that is Qwen 3.8 Max — or a SWE-bench Verified number.

Our verdict

One of the best coding-score-per-dollar picks in the catalog. Route volume work here and reserve Qwen 3.8 Max or a frontier model for the hard cases.

Full pricing, benchmark table and release notes on the Qwen 3.8 Flash page.

GLM-5.3 Flash

Z.ai

The alternative to check next for coding — 82/100 on coding.

Input
$0.15/1M
Output
$0.50/1M
Context
1M tokens
Speed
Fast

Native vision and video, MIT weights, fifteen cents per million. Full GLM-5.3 Flash review →

Kimi K2.7 Code

Moonshot

Rounds out the shortlist for coding at 88/100 on coding.

Input
$0.95/1M
Output
$4.00/1M
Context
256k tokens
Speed
Fast

Value coding specialist — 1T MoE agentic coder at budget prices. Full Kimi K2.7 Code review →

Explore related decisions

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Quick links

Browse all modelsCompare pricingView DeepSeek V4.1 FlashView Qwen 3.8 FlashView GLM-5.3 Flash

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FAQ

What is the best AI for coding?

For coding, DeepSeek V4.1 Flash (DeepSeek) is our pick. DeepSeek's open, cheap new default — V4-Pro now routes to it. It costs $0.3/1M input and $1.2/1M output tokens, with a 1.048576M-token context window — enough headroom for all but the largest coding jobs. Qwen 3.8 Flash is the closest alternative if it doesn't fit your setup.

Why DeepSeek V4.1 Flash for coding?

Because the work it is built for overlaps closely with coding: high-volume coding assistance where review catches what the model misses and self-hosted deployments — the weights are on Hugging Face under the MIT licence. DeepSeek's current flagship in practice, since V4-Pro requests now run on it. Cheap and open, with coding claims that still need independent confirmation. A strong pick for self-hosting or budget pipelines with review.

What does it cost to use DeepSeek V4.1 Flash for coding?

On a moderate month — 10M input and 2M output tokens — DeepSeek V4.1 Flash runs about $5.40 at list price, with no batch or caching discounts applied, so treat that as a ceiling. Claude Haiku 5.5 is the cheaper route at roughly $2.00 for the same volume, if coding is high-volume enough for price to lead the decision.

When is DeepSeek V4.1 Flash the wrong choice for coding?

DeepSeek's coding claims are self-reported and not yet independently verified; it trails on hard reasoning by DeepSeek's own account. Price varies by host and by time of day — check the rate you will actually pay. Avoid it if you need long single outputs (32K cap) or independently verified scores before you commit. None of that rules it out for coding on its own — but if one of those limits maps onto how you actually work, take the alternative on this page seriously rather than defaulting to the top pick.

Is there a cheaper AI that still handles coding?

Claude Haiku 5.5 at $0.1/1M input is the budget option here. Anthropic's budget model, now with adjustable reasoning, at $0.10/$0.50. Expect a quality step down on the hardest cases — the usual pattern is to route routine coding volume to Claude Haiku 5.5 and keep DeepSeek V4.1 Flash for the work where a wrong answer is expensive.

Which of these is fastest?

Qwen 3.8 Flash, rated very fast against DeepSeek V4.1 Flash's fast. Speed matters most for interactive and high-volume work; if your coding runs in the background, the slower and more capable model is usually the better trade.