openai.gpt-oss-120b-1:0
bedrock_converse · chat model
openai.gpt-oss-120b-1:0 is listed here as a chat model from bedrock_converse. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
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 | $0.1500 / 1M tokens |
| Output | $0.6000 / 1M tokens |
| Embedding | $0.1500 / 1M tokens |
Token limits
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 |
|---|---|---|---|---|---|
| AIME 2025 | 97.9% | accuracy (%) | Base model: gpt-oss-120b (gpt-oss-120b) | 2026-05-31 | Link |
| SWE-bench Verified | 62.4% | accuracy (%) | Base model: gpt-oss-120b (gpt-oss-120b) | 2026-05-31 | Link |
| Codeforces | 2622 Elo | Elo | Base model: gpt-oss-120b (gpt-oss-120b) | 2026-05-31 | Link |
| AIME 2025 (no tools) | 92.5% | Accuracy (%) | Base model: gpt-oss (gpt-oss-120b) | 2026-05-31 | Link |
| AIME 2025 (no tools) | 91.7% | Accuracy (%) | Base model: gpt-oss (gpt-oss-20b) | 2026-05-31 | Link |
| GPQA Diamond | 80.1% | Accuracy (%) | Base model: gpt-oss (gpt-oss-120b) | 2026-05-31 | Link |
| GPQA Diamond | 71.5% | Accuracy (%) | Base model: gpt-oss (gpt-oss-20b) | 2026-05-31 | Link |
| MMLU | 90.0% | Accuracy (%) | Base model: gpt-oss (gpt-oss-120b) | 2026-05-31 | Link |
| MMLU | 85.3% | Accuracy (%) | Base model: gpt-oss (gpt-oss-20b) | 2026-05-31 | Link |
| SWE-bench Verified | 62.4% | Accuracy (%) | Base model: gpt-oss (gpt-oss-120b) | 2026-05-31 | Link |
| SWE-bench Verified | 60.7% | Accuracy (%) | Base model: gpt-oss (gpt-oss-20b) | 2026-05-31 | Link |
| Codeforces (with tools) | 2622 | Elo | Base model: gpt-oss (gpt-oss-120b) | 2026-05-31 | Link |
| Codeforces (with tools) | 2516 | Elo | Base model: gpt-oss (gpt-oss-20b) | 2026-05-31 | Link |
| HealthBench | 57.6% | Score (%) | Base model: gpt-oss (gpt-oss-120b) | 2026-05-31 | Link |
| HealthBench | 42.5% | Score (%) | Base model: gpt-oss (gpt-oss-20b) | 2026-05-31 | Link |
| Artificial Analysis Intelligence Index | 24.5 | score | Base model: gpt-oss (openai/gpt-oss-20b:free) | 2026-05-31 | Link |
| Artificial Analysis Coding Index | 18.5 | score | Base model: gpt-oss (openai/gpt-oss-20b:free) | 2026-05-31 | Link |
| Artificial Analysis Agentic Index | 27.6 | score | Base model: gpt-oss (openai/gpt-oss-20b:free) | 2026-05-31 | Link |
| GPQA Diamond | 68.8% | accuracy | Base model: gpt-oss (openai/gpt-oss-20b:free) | 2026-05-31 | Link |
| Humanity's Last Exam | 9.8% | accuracy | Base model: gpt-oss (openai/gpt-oss-20b:free) | 2026-05-31 | Link |
| IFBench | 65.1% | accuracy | Base model: gpt-oss (openai/gpt-oss-20b:free) | 2026-05-31 | Link |
| SciCode | 34.4% | accuracy | Base model: gpt-oss (openai/gpt-oss-20b:free) | 2026-05-31 | Link |
| Terminal-Bench Hard | 10.6% | accuracy | Base model: gpt-oss (openai/gpt-oss-20b:free) | 2026-05-31 | Link |
| Artificial Analysis Intelligence Index | 33.3 | score | Base model: gpt-oss (openai/gpt-oss-120b) | 2026-05-31 | Link |
| Artificial Analysis Coding Index | 28.6 | score | Base model: gpt-oss (openai/gpt-oss-120b) | 2026-05-31 | Link |
| Artificial Analysis Agentic Index | 37.9 | score | Base model: gpt-oss (openai/gpt-oss-120b) | 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.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| openai.gpt-oss-120b-1:0 bedrock_converse | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choiceReasoningResponse schema | 128.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
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Output: text | Function callingTool choiceReasoningResponse schema | 131.1K | Partial I/O overlap Overall 60% |
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Output: unknown | Function callingTool choiceReasoningResponse schema | 128.0K | Same provider Overall 50% |
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Output: text | Function callingTool choiceResponse schema | 131.1K | Partial I/O overlap Overall 50% |
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Output: unknown | Function callingTool choice | 4.1K | Partial I/O overlap Overall 33% |
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Output: text | Tool choice | 4.1K | Partial I/O overlap Overall 27% |
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No models match this filter.