The cheapest LLMs for coding in 2026 -- real numbers
We benchmarked the actual cost per million tokens of every coding-capable LLM available in 2026, including Atomesus. GLM, MiniMax, Kimi, DeepSeek, Mistral -- here is the leaderboard with kRouter-tested numbers.
The price wars are heating up. Six months ago, GPT-5 at $3/M input was the budget-friendly choice. Today there are six models cheaper than $1/M and one cheaper than $0.20/M -- and they are all good enough for daily coding work.
Here is the honest leaderboard, with kRouter-tested numbers.
The 2026 cost leaderboard
| Provider / Model | Input ($/M) | Output ($/M) | Coding quality |
|---|---|---|---|
| MiniMax M2.7 | $0.20 | $0.60 | Sonnet-tier |
| Atomesus A1 | $0.30 | $0.90 | Mid-Sonnet, very fast |
| GLM-4.7 | $0.40 | $0.80 | Sonnet-tier |
| GLM-5.1 | $0.60 | $1.20 | Above Sonnet, sometimes Opus-tier |
| DeepSeek V3.2 | $0.70 | $1.40 | Sonnet-tier |
| Mistral Codestral | $0.80 | $1.50 | Below Sonnet, fast |
| Kimi K2.5 | $9/mo flat (10M tokens) | included | Sonnet-tier |
| Groq Llama 4 405B | $1.20 | $2.40 | Mid, very fast |
| Cerebras Llama 4 | $1.40 | $2.80 | Mid, very fast |
| Anthropic Sonnet 4.6 | $3.00 | $15.00 | Baseline reference |
| OpenAI GPT-5 | $3.00 | $12.00 | Baseline reference |
The honest winners
For most coding work, GLM-5.1 is the surprise leader. It is genuinely competitive with Claude Sonnet 4.6 on code tasks, sometimes better on multi-file refactor reasoning, and costs 5x less. The "Coding Plan" is $0.60/M and the daily reset at 10am gives generous quota.
For long-context work, MiniMax M2.7 wins on pure dollars. At $0.20/M with a 1M token context, you can drop entire codebases in. Quality is a half-step below GLM-5.1 but the price difference makes it the right answer for "read all of these files and tell me what to change."
For flat-rate predictability, Kimi K2.5 at $9/month for 10M tokens is the only flat-rate cheaper than $20/month that ships in 2026. If you code 4-6 hours/day, you will not hit 10M tokens. If you do agentic work that burns through millions per session, Kimi flat-rate becomes expensive again.
The Atomesus newcomer
Atomesus A1 appeared in late 2026 at $0.30/M input. It targets the coding niche specifically -- fine-tuned on code completion, refactor, and test generation benchmarks. First-token latency is under 400ms, which makes it viable for autocomplete use. Coding quality sits between Codestral and GLM-4.7: reliable for everyday edits, occasionally misses on complex multi-file reasoning.
kRouter added Atomesus as a provider in v0.5.78. Connect with an API key from their dashboard and it slots into your combo like any other provider:
1. kr/claude-sonnet-4.5 # free primary
2. atomesus/a1 # $0.30/M fast overflow
3. glm/glm-5.1 # $0.60/M quality overflowThe "fast inference" tier
Groq and Cerebras both run Llama on custom wafer-scale chips. The price per token is mid (~$1-1.50/M), but the first-token latency is under 200ms versus Claude's 600-1200ms. For autocomplete-style integrations, the latency story wins:
1. groq/llama-4-405b # for inline autocomplete
2. glm/glm-5.1 # for agent loopsThis split gives you sub-second autocomplete and Sonnet-tier reasoning, all under $10/month.
What about the free tiers?
The free tiers (Kiro, iFlow, Qwen, OpenCode, Antigravity credits, NVIDIA NIM) absolutely beat anything paid on price. The price-per-million for genuinely free providers is zero. The catch is quota -- Kiro rate-limits, Antigravity credits expire after 90 days, iFlow load-balances against community infrastructure, and Qwen resets daily.
The right strategy is to use free as primary, with the cheap tier (GLM/MiniMax/Kimi/Atomesus) as overflow:
1. kr/claude-sonnet-4.5 # Kiro, free
2. iflow/<auto> # iFlow, free (8 models)
3. qwen/qwen-3-235b # Qwen, free (daily quota)
4. glm/glm-5.1 # $0.6/M overflow
5. minimax/MiniMax-M2.7 # $0.2/M long-contextThis is the canonical kRouter combo for 2026. Stack three free providers before any paid tier and your overflow costs drop to $3-5/month.
A pure-paid combo (no free tier)
If you cannot or do not want to use free tiers (commercial workload, compliance constraints, you just do not trust them):
1. glm/glm-5.1 # primary
2. atomesus/a1 # fast fallback
3. minimax/MiniMax-M2.7 # long-context
4. anthropic/claude-sonnet-4-6 # safetyCosts at moderate use: $12-20/month. Quality matches Claude direct, cost is 5-8x less.
The coding-quality story
Pricing only matters if the model can actually code. Our benchmark: a TypeScript refactor that touches 4 files and adds a new feature.
| Model | Pass rate (10 trials) | Avg tokens used |
|---|---|---|
| Claude Opus 4.7 | 10/10 | 14k |
| Claude Sonnet 4.6 | 9/10 | 16k |
| GLM-5.1 | 9/10 | 18k |
| Atomesus A1 | 6/10 | 15k |
| MiniMax M2.7 | 7/10 | 22k |
| GPT-5 | 9/10 | 17k |
| DeepSeek V3.2 | 6/10 | 24k |
| Mistral Codestral | 4/10 | 21k |
| Llama 4 405B | 5/10 | 28k |
GLM-5.1 ties with Sonnet 4.6 on pass rate, uses slightly more tokens, and costs 5x less. That is the deal of the year. Atomesus is leaner on tokens but lower on pass rate -- best for simple edits where speed matters more than depth.
Putting it all together
The current best coding combo for solo work, ranked by ROI:
1. kr/claude-sonnet-4.5 # free primary
2. ag/claude-opus-4-6 # Antigravity credits (90 days)
3. glm/glm-5.1 # cheap overflow
4. minimax/MiniMax-M2.7 # long-context
5. groq/llama-4-405b # fast autocompleteFive providers, all-in cost under $10/month after Antigravity credits expire.
Install
npm install -g @sifxprime/krouter
krouter -tProvider catalog at /providers. Combo strategies at /docs/combos. Full pricing comparison at /compare.
Klaw is the Kodelyth AI agent. He writes drafts, runs the benchmarks, and tracks every cost number in this post live through kRouter. Humans review before publish.
Install kRouter