Gemini 3.1 Pro vs GLM-5.3 — Price, Context, and Capability Compared
Gemini 3.1 Pro vs GLM-5.3: which should I use?
Gemini 3.1 Pro costs 2.1× more per blended million tokens than GLM-5.3. Gemini 3.1 Pro has the larger context window (2,000,000 tokens). Default to GLM-5.3 unless you specifically need Gemini 3.1 Pro's edge.
Where can you find price, speed, and task evidence for Gemini 3.1 Pro and GLM-5.3?
Which tasks fit Gemini 3.1 Pro and GLM-5.3?
Best-fit task signals from the published model strengths; this is not a substitute for a controlled benchmark.
| Fact | Gemini 3.1 Pro | GLM-5.3 |
|---|---|---|
| Best fit | Whole-codebase, whole-document, or long-video analysis in a single request. | Long-horizon coding on open weights at a fraction of frontier pricing. |
| Reasoning mode | Available | Available |
What does a Coding Agent workload cost with Gemini 3.1 Pro and GLM-5.3?
Modeled for Coding Agent: 20,000 input + 2,000 output tokens per task, 1 turn. This is a workload model, not a provider quote.
| Fact | Gemini 3.1 Pro | GLM-5.3 |
|---|---|---|
| Coding Agent / task | $0.06 (modeled) | $0.04 (modeled) (winner) |
| Input / output rate | $2.00 / $12.00 per M | $1.40 / $4.40 per M |
How fast are Gemini 3.1 Pro and GLM-5.3?
Only non-estimated benchmark results are shown as measured.
| Fact | Gemini 3.1 Pro | GLM-5.3 |
|---|---|---|
| Measured throughput | 55 tokens/s | Unavailable |
| Time to first token | 420 ms | Unavailable |
How compatible are Gemini 3.1 Pro and GLM-5.3 with APIs?
Provider-level wire-format and SDK facts; model-specific parameter differences may still apply.
| Fact | Gemini 3.1 Pro | GLM-5.3 |
|---|---|---|
| OpenAI SDK | Not drop-in | Usable |
| Request shape | contents/parts structure instead of messages; an OpenAI-compatible endpoint exists but only covers a subset of parameters. | OpenAI-compatible chat/completions endpoint at api.z.ai/api/paas/v4. |
| Streaming | SSE (Gemini streamGenerateContent) | SSE (OpenAI delta) |
What are the privacy and retention policies for Gemini 3.1 Pro and GLM-5.3?
Provider policy and residency facts from the verified provider registry. A missing retention policy is not treated as a guarantee.
| Fact | Gemini 3.1 Pro | GLM-5.3 |
|---|---|---|
| Provider says API data trains models | No | Unavailable |
| Published retention period | Unavailable | Unavailable |
| Data residency | Global by default; Vertex AI offers selectable regional endpoints | Unavailable |
How much effort does it take to migrate between Gemini 3.1 Pro and GLM-5.3?
Direction is from each displayed model to the other. Effort is derived from provider compatibility and published parameter maps.
| Fact | Gemini 3.1 Pro | GLM-5.3 |
|---|---|---|
| Move Gemini 3.1 Pro → GLM-5.3 | config; 5 breaking parameter differences | Target: GLM-5.3 |
| Move GLM-5.3 → Gemini 3.1 Pro | Source: GLM-5.3 | code-change; 0 breaking parameter differences |
| Why | Keep the `openai` SDK; change `baseURL` and the API key. | contents/parts structure instead of messages; an OpenAI-compatible endpoint exists but only covers a subset of parameters. |
How do Gemini 3.1 Pro and GLM-5.3 compare on specs?
| Gemini 3.1 Pro | GLM-5.3 | |
|---|---|---|
| Price (input) | $2.00/M | $1.40/M ✓ |
| Price (output) | $12.00/M | $4.40/M ✓ |
| Blended price | $4.50/M | $2.15/M ✓ |
| Context window | 2,000,000 tokens ✓ | 1,000,000 tokens |
| Max output | 64,000 tokens | 131,072 tokens ✓ |
| Modalities | text, vision, audio | text |
| Reasoning mode | Yes | Yes |
| Released | 2026-02 | 2026-08 |
| Speed | 55 t/s | Not measured |
How much do Gemini 3.1 Pro and GLM-5.3 cost at scale?
| Tokens / month | Gemini 3.1 Pro | GLM-5.3 | Delta |
|---|---|---|---|
| 1,000,000 | $4.50 | $2.15 | $2.35 (2.1×) |
| 10,000,000 | $45.00 | $21.50 | $23.50 (2.1×) |
| 100,000,000 | $450.00 | $215.00 | $235.00 (2.1×) |
Choose Gemini 3.1 Pro if…
- ✓Largest context window of any current model (2M tokens)
- ✓Native audio and video understanding
- ✓Google Search grounding
- ✓Whole-codebase, whole-document, or long-video analysis in a single request.
Choose GLM-5.3 if…
- ✓Z.ai coding-first flagship, 50% stronger than 5.2 on code bench
- ✓1M-token context with 128K outputs
- ✓Mandatory reasoning with low/high/max effort
- ✓Long-horizon coding on open weights at a fraction of frontier pricing.
Run this exact matchup right now
Send the same prompt to Gemini 3.1 Pro and GLM-5.3 side by side and see the outputs yourself.
Try Gemini 3.1 Pro vs GLM-5.3 FreeWhat are common questions about Gemini 3.1 Pro and GLM-5.3?
Is Gemini 3.1 Pro cheaper than GLM-5.3?
GLM-5.3 is cheaper, at $2.15 per million blended tokens vs $4.50 for Gemini 3.1 Pro.
Which has the bigger context window, Gemini 3.1 Pro or GLM-5.3?
Gemini 3.1 Pro has the larger context window: 2,000,000 tokens vs 1,000,000.
Can Gemini 3.1 Pro replace GLM-5.3 for coding?
Both are viable for coding. Largest context window of any current model (2M tokens) (Gemini 3.1 Pro) vs Z.ai coding-first flagship, 50% stronger than 5.2 on code bench (GLM-5.3) — pick based on which strength matters more for your workload.
Neither of these? See Gemini 3.1 Pro alternatives or GLM-5.3 alternatives.
What related comparisons help choose between Gemini 3.1 Pro and GLM-5.3?
Pricing verified 2026-04-06. Specs verified 2026-08-14.