llama-3.3-70b-instruct
novita · chat model
llama-3.3-70b-instruct is listed here as a chat model from novita. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.1350 / 1M tokens
Output
$0.4000 / 1M tokens
Cached input
N/A
Context
120.0K
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 | $0.1350 / 1M tokens |
| Output | $0.4000 / 1M tokens |
| Embedding | $0.1350 / 1M tokens |
Token limits
Context window
120.0K
Max input tokens
131.1K
Max output tokens
120.0K
Max tokens
120.0K
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 |
|---|---|---|---|---|---|
| MMLU (CoT) | 86.0 | macro_avg/acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| MMLU-Pro (CoT) | 68.9 | macro_avg/acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| GPQA Diamond | 50.5 | acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| HumanEval | 88.4 | pass@1 | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| MATH (CoT) | 77.0 | sympy_intersection_score | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| MMLU (CoT) | 86.0 | macro_avg/acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| MMLU-Pro (CoT) | 68.9 | macro_avg/acc | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
| IFEval | 92.1 | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link | |
| HumanEval | 88.4 | pass@1 | Base model: Llama 3.3 (Llama-3.3 70B Instruct) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
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 |
|---|---|---|---|---|---|
| llama-3.3-70b-instruct novita | In $0.1350 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceSystem messages | 120.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| glm-4.5-air novita | In $0.1300 / 1M tokens Out $0.8500 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceSystem messages | 98.3K | Same provider Overall 86% |
| Llama-3.3-70B-Instruct-Turbo deepinfra | In $0.1300 / 1M tokens Out $0.3900 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 86% |
| QwQ-32B deepinfra | In $0.1500 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 85% |
| gpt-oss-120b azure_ai | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Function callingParallel function callingTool choice | 131.1K | Text covered Overall 84% |
| Llama-3.3-Nemotron-Super-49B-v1.5 deepinfra | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 84% |
| Llama-3.3-70B-Instruct deepinfra | In $0.2300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 83% |
| kat-coder-pro novita | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceSystem messages | 128.0K | Same provider Overall 82% |
| minimax-m2.1 novita | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceSystem messages | 131.1K | Same provider Overall 81% |
| minimax-m2 novita | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceSystem messages | 131.1K | Same provider Overall 81% |
| deepseek-v3.2 novita | In $0.2690 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceSystem messages | 65.5K | Same provider Overall 80% |
| deepseek-v3.2-exp novita | In $0.2700 / 1M tokens Out $0.4100 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceSystem messages | 65.5K | Same provider Overall 80% |
| ernie-4.5-21B-a3b novita | In $0.0700 / 1M tokens Out $0.2800 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceSystem messages | 8.0K | Same provider Overall 78% |
| L3-8B-Stheno-v3.2 novita | In $0.0500 / 1M tokens Out $0.0500 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceSystem messages | 32.0K | Same provider Overall 74% |
| deepseek-v3-turbo novita | In $0.4000 / 1M tokens Out $1.3000 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceSystem messages | 16.0K | Same provider Overall 73% |
| llama-3.2-3b-instruct novita | In $0.0300 / 1M tokens Out $0.0500 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceSystem messages | 32.0K | Same provider Overall 72% |
| l3-70b-euryale-v2.1 novita | In $1.4800 / 1M tokens Out $1.4800 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceSystem messages | 8.2K | Same provider Overall 70% |
| l31-70b-euryale-v2.2 novita | In $1.4800 / 1M tokens Out $1.4800 / 1M tokens | text
Output: text | Function callingParallel function callingTool choiceSystem messages | 8.2K | Same provider Overall 70% |
| Llama-3.3-70B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 40% Missing text |
| Meta-Llama-3.1-70B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 40% Missing text |
| Qwen2.5-72B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 40% Missing text |
| Qwen2.5-VL-72B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 38% Missing text |
| Qwen2-VL-72B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 38% Missing text |
No models match this filter.