Cost per coding-agent request

Is Claude Fable 5 or GLM 4.6 cheaper for coding agents?

For coding agents, Claude Fable 5 costs 15x as much as GLM 4.6 per request ($0.23 vs $0.015 on our measured traffic), because Claude Fable 5 lists at $10 input, $1 cached input and $50 output per million tokens against $0.50, $0.10 and $2 for GLM 4.6.

List prices: Anthropic 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

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Cost per coding-agent request, side by side

Cost at list price	GLM 4.6	Fable 5
Prompt under 100K tokens50% of requests, 87% of input cached	$0.0100	$0.16
Prompt of 100K to 272K39% of requests, 88% of input cached	$0.023	$0.34
Prompt over 272K tokens11% of requests, 86% of input cached	n/a	n/a
Average request	$0.015	$0.23
100 requests	$1.47	$22.54
Median session16 requests; a session ends after 10 idle minutes	$0.17	$2.71
A month of regular usemedian of 20 users active on 5+ days	$15.56	$256

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 Analysis	GLM 4.6	Fable 5
Intelligence Index10 evaluations, 0 to 100	19 (estimate)	50
Terminal-Bench 4.0agentic coding in a terminal	n/a	42.4%
Output speedmedian	36 tokens/s	67 tokens/s
Time to first answer tokenincludes thinking time	59 s	2.3 min

Source: Artificial Analysis (artificialanalysis.ai). Measured variants: GLM-4.6 (Reasoning); Claude Fable 5 (Max, Opus 4.8 Fallback), speed on Anthropic. 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 4.6's 205K window cannot take 20% of coding-agent requests, so the comparison uses only requests both can take. Claude Fable 5 is superseded: Claude Fable 5.1 costs $0.24 per request. The price is OpenRouter's listed rate on October 13, 2026, which can be a third-party host's; Z.AI's own API may charge differently.

FAQ

Is GLM 4.6 cheaper than Claude Fable 5 for coding agents?

Yes, at the listed prices. 100 average coding-agent requests cost $1.47 on GLM 4.6 and $22.54 on Claude Fable 5. A median 16-request session costs $0.17 vs $2.71. 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 Fable 5 vs GLM 4.6 cost?

For the median regular user in our data (1,478 requests in 30 days), about $256 on Claude Fable 5 and $15.56 on GLM 4.6 at list price. Heavier users pay proportionally more.

Claude Fable 5 vs GLM 4.6: which is better for agents?

Claude Fable 5 scores higher on output quality (9.0/10 vs 4.8/10), while GLM 4.6 is the cheaper option. Claude Fable 5 is best for existing Fable 5 setups that have not yet moved to Fable 5.1 or Opus 5.5; GLM 4.6 is best for short-context coding tasks on a tight budget. Live community votes on this page show what people actually prefer.

Can I switch between Claude Fable 5 and GLM 4.6 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.

Output Quality

Correctness and depth of what it produces

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

Current Claude, GPT, Gemini and open models are included with Standard Compute

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Current frontier models Claude Fable 5.1 · GPT-6 Astra

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