gpt-5.2
gmi · chat model
gpt-5.2 is listed here as a chat model from gmi. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$1.7500 / 1M tokens
Output
$14.0000 / 1M tokens
Cached input
N/A
Context
32.0K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $1.7500 / 1M tokens |
| Output | $14.0000 / 1M tokens |
| Embedding | $1.7500 / 1M tokens |
Token limits
Context window
32.0K
Max input tokens
409.6K
Max output tokens
32.0K
Max tokens
32.0K
Capabilities
| Capability | Supported |
|---|---|
| Vision | — |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | — |
| Prompt caching | — |
| Reasoning | — |
| Response schema | — |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| GDPval | 70.9% | wins or ties (%) | Base model: gpt-5.2 (GPT-5.2 Thinking) | 2026-05-31 | Link |
| SWE-bench Pro | 55.6% | accuracy (%) | Base model: gpt-5.2 (GPT-5.2 Thinking) | 2026-05-31 | Link |
| AIME 2025 | 100.0% | accuracy (%) | Base model: gpt-5.2 (GPT-5.2 Thinking) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gpt-5.2 gmi | In $1.7500 / 1M tokens Out $14.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gpt-5.1 gmi | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Same provider Overall 54% |
| gpt-5 gmi | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Same provider Overall 54% |
| mistral-large-2402 Azure | In $8.0000 / 1M tokens Out $24.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Partial I/O overlap Overall 48% |
| mistral-large-latest Azure | In $8.0000 / 1M tokens Out $24.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Partial I/O overlap Overall 48% |
| xai.grok-4 oci | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 44% |
| xai.grok-3 oci | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 44% |
| xai.grok-4.20 oci | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 44% |
| xai.grok-4.20-multi-agent oci | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 44% |
| claude-sonnet-4.5 gmi | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Same provider Overall 43% |
| claude-sonnet-4 gmi | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Same provider Overall 43% |
| command-r-plus Azure | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | text
Output: text | Function calling | 4.1K | Partial I/O overlap Overall 42% |
| Mixtral-8x22B-Instruct-v0.1 anyscale | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens |
Output: unknown | Function calling | 65.5K | Partial I/O overlap Overall 38% |
| gemini-3-pro-preview gmi | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens |
Output: unknown | Function calling | 65.5K | Same provider Overall 37% |
| claude-opus-4.5 gmi | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens |
Output: unknown | Function calling | 32.0K | Same provider Overall 37% |
| Mistral-7B-Instruct-v0.1 anyscale | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function calling | 16.4K | Partial I/O overlap Overall 34% |
| Mixtral-8x7B-Instruct-v0.1 anyscale | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function calling | 16.4K | Partial I/O overlap Overall 34% |
| gpt-5.2-chat Azure | In $1.7500 / 1M tokens Out $14.0000 / 1M tokens | pdf
Output: text | Function calling | 16.4K | Partial I/O overlap Overall 30% |
| gpt-5.2-chat-2025-12-11 Azure | In $1.7500 / 1M tokens Out $14.0000 / 1M tokens | pdf
Output: text | Function calling | 16.4K | Partial I/O overlap Overall 30% |
| gpt-5.3-chat Azure | In $1.7500 / 1M tokens Out $14.0000 / 1M tokens | pdf
Output: text | Function calling | 16.4K | Partial I/O overlap Overall 30% |
| gpt-5.2 Azure | In $1.7500 / 1M tokens Out $14.0000 / 1M tokens | pdf
Output: image, text | Function calling | 128.0K | Partial I/O overlap Overall 27% |
| gpt-5.2-2025-12-11 Azure | In $1.7500 / 1M tokens Out $14.0000 / 1M tokens | pdf
Output: image, text | Function calling | 128.0K | Partial I/O overlap Overall 27% |
| gpt-5.2 OpenAI | In $1.7500 / 1M tokens Out $14.0000 / 1M tokens | imagepdf
Output: text | Function calling | 128.0K | Partial I/O overlap Overall 26% |
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