Cost per coding-agent request

Is GLM 4.7 or Qwen3 235B A22B cheaper for coding agents?

For coding agents, GLM 4.7 costs 2.0x as much as Qwen3 235B A22B per request ($0.017 vs $0.0084 on our measured traffic), because GLM 4.7 lists at $0.60 input, $0.11 cached input and $2.20 output per million tokens against $0.09, $0.09 and $0.55 for Qwen3 235B A22B.

List prices: Z.AI pricing, OpenRouter listed price, checked 2026-10-13. Request costs: Standard Compute gateway data, 79,301 coding-agent requests from 75 users, Sep 13 to Oct 12, 2026. How we compute this

Run current Claude, GPT, Gemini and open models in your agent

Or let the router send each step to the cheapest model that can do it, on providers we vet for price, uptime and speed. Plans from $19 a month.

See plans

Cost per coding-agent request, side by side

Cost at list priceQwen3 235BGLM 4.7
Prompt under 100K tokens50% of requests, 87% of input cached$0.0055$0.011
Prompt of 100K to 272K39% of requests, 88% of input cached$0.013$0.026
Prompt over 272K tokens11% of requests, 86% of input cachedn/an/a
Average request$0.0084$0.017
100 requests$0.84$1.68
Median session16 requests; a session ends after 10 idle minutes$0.077$0.19
A month of regular usemedian of 20 users active on 5+ days$8.70$17.73

Each logged request priced at the listed rates above for its own token counts, including cache reads and any higher rate for long prompts. Average output: 698 tokens per request. Both models are priced on the requests up to 205K tokens that fit in both context windows; band shares above describe all requests.

Benchmarks, speed and latency, side by side

Artificial AnalysisQwen3 235BGLM 4.7
Intelligence Index10 evaluations, 0 to 10012 (estimate)22 (estimate)
Output speedmedian48 tokens/s42 tokens/s
Time to first answer tokenincludes thinking time1.3 s49 s

Source: Artificial Analysis (artificialanalysis.ai). Measured variants: Qwen3 235B A22B 2507 Instruct; GLM-4.7 (Reasoning). Fetched October 13, 2026. Artificial Analysis runs Terminal-Bench 4.0 in its own setup, so its scores differ from the tbench.ai leaderboard.

What to watch for

GLM 4.7's 205K window cannot take 20% of coding-agent requests, so the comparison uses only requests both can take. The price is OpenRouter's listed rate on October 13, 2026, which can be a third-party host's; Alibaba's own API may charge differently. GLM 4.7 scores clearly higher on the benchmarks above, so it may finish hard tasks in fewer steps.

FAQ

Is Qwen3 235B A22B cheaper than GLM 4.7 for coding agents?
Yes, at the listed prices. 100 average coding-agent requests cost $0.84 on Qwen3 235B A22B and $1.68 on GLM 4.7. A median 16-request session costs $0.077 vs $0.19. Measured on 79,301 real coding-agent requests (Sep 13 to Oct 12, 2026), counting only the requests up to 205K tokens that both can take.
How much does a month of GLM 4.7 vs Qwen3 235B cost?
For the median regular user in our data (1,478 requests in 30 days), about $17.73 on GLM 4.7 and $8.70 on Qwen3 235B A22B at list price. Heavier users pay proportionally more.
GLM 4.7 vs Qwen3 235B A22B: which is better for agents?
GLM 4.7 scores higher on output quality (5.3/10 vs 3.8/10), while Qwen3 235B A22B is the cheaper option. GLM 4.7 is best for existing GLM 4.x setups that want a small step up from 4.6; Qwen3 235B A22B is best for self-hosted setups that need a mid-size open-weight model. Live community votes on this page show what people actually prefer.
Can I switch between GLM 4.7 and Qwen3 235B A22B in the same agent?
Yes. Model-agnostic agents (Cline, Aider, OpenClaw, Hermes Agent, Kilo Code, OpenCode) let you swap models per task. Many people route hard tasks to the stronger model and routine work to the cheaper one.

Community vote

Pick a winner in each dimension. You can change your vote any time. 1 vote cast so far.

Output Quality

Correctness and depth of what it produces

0%1 vote100%

Agentic Ability

Tool calls, instruction-following, and multi-step tasks

Speed

Tokens per second and time-to-first-token

Value for Money

How much capability you get per dollar

Reliability

Consistent results: fewer refusals, loops and format breaks

Related comparisons

The agent matters as much as the model. Compare AI agents →

Current Claude, GPT, Gemini and open models run on Standard Compute

Standard Compute

Current frontier models Claude Fable 5.1 · GPT-6 Astra

More intelligence
per dollar.

Each step goes to the cheapest model that can do it, on providers we vet for price, uptime and speed, with automatic fallback when one fails.

Compliance
Opt-in rules keep a company, team or key on European or US providers
Privacy
We don’t train on your prompts or store them

Fixed monthly plans from $19 · cancel anytime

7-day fair refund Free trial, no card Billing by Stripe4,100+ agent users