DeepSeek AI DeepSeek v3.1 vs Zai Org Glm 4.6

DeepSeek AI DeepSeek v3.1 (Replicate, 163,840-token context) versus Zai Org Glm 4.6 (Novita AI, 204,800-token context). DeepSeek AI DeepSeek v3.1 is cheaper by 2% on a blended token mix. Zai Org Glm 4.6 uniquely supports parallel tool calls and structured output (json schema). Use the live calculator below to plug your real usage shape into both, then route the winner via Agent Command Center for shadow A/B without code changes.

Bottom line — DeepSeek AI DeepSeek v3.1 vs Zai Org Glm 4.6

DeepSeek AI DeepSeek v3.1 and Zai Org Glm 4.6 are priced within 2% of each other, so cost alone is not the deciding factor. The comparison comes down to capabilities, context window, and benchmark performance on the specific task shape your workload demands.

On capability surface area, the models diverge: Zai Org Glm 4.6 supports parallel tool calls where the other does not; Zai Org Glm 4.6 supports structured output (json schema) where the other does not. These differences are binary — either your workload needs the capability or it does not. Check whether any critical path in your agent pipeline depends on a capability only one model provides before committing to a migration.

For teams evaluating both models, the recommended path is a shadow A/B test: route production traffic through an OpenAI-compatible gateway, mirror a percentage to the candidate model, score both responses with an automated evaluator (faithfulness, tool-call correctness, latency), and compare cohort-level metrics over two weeks. Future AGI Agent Command Center supports this pattern with a single `base_url` change and built-in evaluators from the ai-evaluation SDK.

Side-by-side cost

Live workload comparison

Same workload run through both models. The cheaper one is highlighted.

Input tokens / request3,000

0204,800

Output tokens / request400

0163,840

Requests / day5,000

01,000,000

DeepSeek AI DeepSeek v3.1

Replicate

$430/mo

Input $0.672/M · Output $2.02/M

Zai Org Glm 4.6Cheaper

Novita AI

$385/mo

Input $0.550/M · Output $2.20/M

At this workload, Zai Org Glm 4.6 is 10% cheaper than DeepSeek AI DeepSeek v3.1 — a savings of $44.50/month ($534/year).

Crossover: Zai Org Glm 4.6 is cheaper when output/input ≤ 0.66 (input-heavy workloads — RAG, retrieval). DeepSeek AI DeepSeek v3.1 wins above (long-form generation).

Current workload ratio: 0.13 (400/3000)

Production recipe — Agent Command Center

strategy: cost-optimized
primary:
  model: zai-org-glm-4-6
  provider: novita-ai
fallback:
  model: deepseek-ai-deepseek-v3-1
  provider: replicate
shadow: { sample_rate: 0.05 }   # mirror 5% of traffic to compare quality live

Get started free →Routing docs ↗

	DeepSeek AI DeepSeek v3.1 Replicate	Zai Org Glm 4.6 Novita AI
Input price	$0.672/M	$0.550/M
Output price	$2.02/M	$2.20/M
Context window	163,840	204,800
Max output	163,840	131,072
Function calling	✓	✓
Vision	—	—
Audio input	—	—
Reasoning	✓	✓
Prompt caching	—	—
Structured output	—	✓
Pricing verified	Jun 2, 2026	Jun 2, 2026

Cheaper option

DeepSeek AI DeepSeek v3.1

~2% cheaper than the priciest in this pair

Larger context

Zai Org Glm 4.6

204,800 tokens

More capabilities

Zai Org Glm 4.6

3 of 6 capability flags advertised

Cost at scale: monthly spend at three usage volumes

Estimated monthly cost assuming 1,000 input + 200 output tokens per request — a realistic chat-agent shape. Adjust your own usage in the calculator at the top of this page for an exact number.

Scale	DeepSeek AI DeepSeek v3.1	Zai Org Glm 4.6	Delta
Startup 10K requests/day	$323 /mo	$297 /mo	$25.56/mo
Mid-market 100K requests/day	$3,226 /mo	$2,970 /mo	$256/mo
Enterprise 1M requests/day	$32,256 /mo	$29,700 /mo	$2,556/mo

At enterprise scale (1M requests/day), a difference of even ~10% in unit price compounds into thousands of dollars per month. Cached input pricing and batch tiers can shift this further — both are surfaced on each model's own page.

Capability diff — what you gain and lose on the swap

A specific list of what each model has that the other doesn't. If your workload depends on a row in Only DeepSeek AI DeepSeek v3.1, switching to Zai Org Glm 4.6 means re-architecting that path (and vice versa).

Only on DeepSeek AI DeepSeek v3.1

Nothing — everything DeepSeek AI DeepSeek v3.1 ships is also on Zai Org Glm 4.6.

Only on Zai Org Glm 4.6

• Parallel tool calls
• Structured output (JSON schema)

Capabilities both share (3)

✓ Function calling
✓ Streaming
✓ Native reasoning mode

Migration considerations

Concrete differences to wire through your stack before you flip traffic from one to the other.

Max output tokens differ: 163,840 on DeepSeek AI DeepSeek v3.1 vs 131,072 on Zai Org Glm 4.6. Long-form generation tasks may truncate differently — adjust streaming UI and chunking accordingly.
Zai Org Glm 4.6 has capabilities DeepSeek AI DeepSeek v3.1 lacks: Parallel tool calls, Structured output (JSON schema). Worth wiring through the agent design before commit.
Provider changes from Replicate to Novita AI. API authentication, rate-limit policy, regional availability, and billing all shift. Most teams route through an OpenAI-compatible gateway (e.g., Future AGI Agent Command Center) so the swap is a single `base_url` change instead of an SDK rewrite.

How to A/B test DeepSeek AI DeepSeek v3.1 vs Zai Org Glm 4.6 in production

If you're stuck between the two, run them side-by-side on real traffic. Four steps the Future AGI team uses internally:

1. Point your existing OpenAI SDK at https://gateway.futureagi.com/v1. No code change beyond base_url and a virtual key.
2. Mark DeepSeek AI DeepSeek v3.1 primary, mirror 20% of traffic to Zai Org Glm 4.6 in shadow mode. Both responses are logged; only the primary is served to users.
3. Score every shadow response with an evaluator — faithfulness, tool-call correctness, response latency, cost. Built-in evaluators in ai-evaluation cover the common axes.
4. Compare cohort-level metrics after two weeks. Switch primary when the candidate wins on what matters to your workload — and stays within your latency budget.

Full walkthrough on the Agent Command Center page.

FAQ — DeepSeek AI DeepSeek v3.1 vs Zai Org Glm 4.6

Which is cheaper, DeepSeek AI DeepSeek v3.1 or Zai Org Glm 4.6? ▾

DeepSeek AI DeepSeek v3.1 is cheaper by roughly 2% on a blended input + output token mix. Input prices are $0.672/M for DeepSeek AI DeepSeek v3.1 versus $0.550/M for Zai Org Glm 4.6; output prices are $2.02/M versus $2.20/M. The exact savings depend on your input:output ratio — use the live calculator above to plug in your own request shape.

What is the context window of DeepSeek AI DeepSeek v3.1 versus Zai Org Glm 4.6? ▾

DeepSeek AI DeepSeek v3.1 supports up to 163,840 tokens of context. Zai Org Glm 4.6 supports up to 204,800 tokens. Zai Org Glm 4.6 has the larger window by a factor of 1.3x, which matters for long-document RAG, multi-turn agent sessions, and tasks that need to keep an entire codebase in working memory.

Do DeepSeek AI DeepSeek v3.1 and Zai Org Glm 4.6 both support tool calling? ▾

Yes — both DeepSeek AI DeepSeek v3.1 and Zai Org Glm 4.6 support native function calling. Both also support structured output via JSON schema, so an agent can be ported between them with the same tool definitions.

How do I A/B test DeepSeek AI DeepSeek v3.1 against Zai Org Glm 4.6 in production? ▾

Route both through an OpenAI-compatible gateway like Future AGI Agent Command Center with shadow mode enabled. Send 100% of traffic to your primary model, mirror 10–20% to the candidate, score every response with an evaluator (faithfulness, tool-call correctness, response time), and compare cohort-level metrics for two weeks. Switch when the candidate wins on the metrics that matter to your workload and stays within your latency budget.