OpenAI GPT Oss 120B vs Zai Org Glm 4.6v
OpenAI GPT Oss 120B (OpenRouter, 131,072-token context) versus Zai Org Glm 4.6v (Novita AI, 131,072-token context). OpenAI GPT Oss 120B is cheaper by 18% on a blended token mix. Zai Org Glm 4.6v uniquely supports vision input. 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 — OpenAI GPT Oss 120B vs Zai Org Glm 4.6v
OpenAI GPT Oss 120B and Zai Org Glm 4.6v target overlapping workloads but differ sharply on economics. OpenAI GPT Oss 120B runs roughly 18% cheaper on a blended input-plus-output token mix, which translates to approximately $420 per month at mid-market volume (100K requests/day). The gap compounds at enterprise scale, making the cost axis the first filter most teams apply when deciding between these two models.
On capability surface area, the models diverge: Zai Org Glm 4.6v supports vision input 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.
Live workload comparison
Same workload run through both models. The cheaper one is highlighted.
strategy: cost-optimized
primary:
model: openai-gpt-oss-120b
provider: openrouter
fallback:
model: zai-org-glm-4-6v
provider: novita-ai
shadow: { sample_rate: 0.05 } # mirror 5% of traffic to compare quality live| OpenAI GPT Oss 120B | Zai Org Glm 4.6v | |
|---|---|---|
| Input price | $0.180/M | $0.300/M |
| Output price | $0.800/M | $0.900/M |
| Context window | 131,072 | 131,072 |
| Max output | 32,768 | 32,768 |
| Function calling | ✓ | ✓ |
| Vision | — | ✓ |
| Audio input | — | — |
| Reasoning | ✓ | ✓ |
| Prompt caching | — | — |
| Structured output | ✓ | ✓ |
| Pricing verified | Jun 2, 2026 | Jun 2, 2026 |
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 | OpenAI GPT Oss 120B | Zai Org Glm 4.6v | Delta |
|---|---|---|---|
| Startup 10K requests/day | $102 /mo | $144 /mo | $42.00/mo |
| Mid-market 100K requests/day | $1,020 /mo | $1,440 /mo | $420/mo |
| Enterprise 1M requests/day | $10,200 /mo | $14,400 /mo | $4,200/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.
When to choose which
Picked from the data above — not vendor marketing. Match the rules to your workload, not the other way around.
You're cost-sensitive at scale — OpenAI GPT Oss 120B runs ~18% cheaper on a blended in+out token mix, compounding into thousands of dollars per month at production volume.
Your inputs include screenshots, diagrams, or product photos — Zai Org Glm 4.6v accepts image input natively, the other doesn't.
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 OpenAI GPT Oss 120B, switching to Zai Org Glm 4.6v means re-architecting that path (and vice versa).
- • Vision input
Capabilities both share (5)
- ✓ Function calling
- ✓ Parallel tool calls
- ✓ Streaming
- ✓ Structured output (JSON schema)
- ✓ Native reasoning mode
Migration considerations
Concrete differences to wire through your stack before you flip traffic from one to the other.
- Zai Org Glm 4.6v has capabilities OpenAI GPT Oss 120B lacks: Vision input. Worth wiring through the agent design before commit.
- Provider changes from OpenRouter 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 OpenAI GPT Oss 120B vs Zai Org Glm 4.6v 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 beyondbase_urland a virtual key. - 2. Mark OpenAI GPT Oss 120B primary, mirror 20% of traffic to Zai Org Glm 4.6v 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 — OpenAI GPT Oss 120B vs Zai Org Glm 4.6v
Which is cheaper, OpenAI GPT Oss 120B or Zai Org Glm 4.6v? ▾
OpenAI GPT Oss 120B is cheaper by roughly 18% on a blended input + output token mix. Input prices are $0.180/M for OpenAI GPT Oss 120B versus $0.300/M for Zai Org Glm 4.6v; output prices are $0.800/M versus $0.900/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 OpenAI GPT Oss 120B versus Zai Org Glm 4.6v? ▾
OpenAI GPT Oss 120B supports up to 131,072 tokens of context. Zai Org Glm 4.6v supports up to 131,072 tokens. Zai Org Glm 4.6v has the larger window by a factor of 1.0x, which matters for long-document RAG, multi-turn agent sessions, and tasks that need to keep an entire codebase in working memory.
Do OpenAI GPT Oss 120B and Zai Org Glm 4.6v both support tool calling? ▾
Yes — both OpenAI GPT Oss 120B and Zai Org Glm 4.6v 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.
Can OpenAI GPT Oss 120B and Zai Org Glm 4.6v process images? ▾
Zai Org Glm 4.6v accepts native image input. OpenAI GPT Oss 120B does not — you would need to route image-heavy workloads through Zai Org Glm 4.6v or add a separate vision model in front of OpenAI GPT Oss 120B.
When should I choose OpenAI GPT Oss 120B over Zai Org Glm 4.6v? ▾
You're cost-sensitive at scale — OpenAI GPT Oss 120B runs ~18% cheaper on a blended in+out token mix, compounding into thousands of dollars per month at production volume.
When should I choose Zai Org Glm 4.6v over OpenAI GPT Oss 120B? ▾
Your inputs include screenshots, diagrams, or product photos — Zai Org Glm 4.6v accepts image input natively, the other doesn't.
How do I A/B test OpenAI GPT Oss 120B against Zai Org Glm 4.6v 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.