Meta-Llama-3.3-70B-Instruct
sambanova · chat model
Meta-Llama-3.3-70B-Instruct is listed here as a chat model from sambanova. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.6000 / 1M tokens
Output
$1.2000 / 1M tokens
Cached input
N/A
Context
131.1K
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 | $0.6000 / 1M tokens |
| Output | $1.2000 / 1M tokens |
| Embedding | $0.6000 / 1M tokens |
Token limits
Context window
131.1K
Max input tokens
131.1K
Max output tokens
131.1K
Max tokens
131.1K
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 |
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 |
|---|---|---|---|---|---|
| Meta-Llama-3.3-70B-Instruct sambanova | In $0.6000 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 131.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| deepseek-r1-distill-llama-70b vercel_ai_gateway | In $0.7500 / 1M tokens Out $0.9900 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 131.1K | Partial I/O overlap Overall 56% |
| Meta-Llama-3_3-70B-Instruct ovhcloud | In $0.6700 / 1M tokens Out $0.6700 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 131.0K | Partial I/O overlap Overall 54% |
| devstral-medium-2507 Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 128.0K | Partial I/O overlap Overall 52% |
| minimax-m2p1 fireworks_ai | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 204.8K | Partial I/O overlap Overall 50% |
| minimax-m2p1 fireworks_ai | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 204.8K | Partial I/O overlap Overall 50% |
| Llama-4-Maverick-17B-128E-Instruct sambanova | In $0.6300 / 1M tokens Out $1.8000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 131.1K | Same provider Overall 50% |
| mixtral-8x22b-instruct-hf fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 65.5K | Partial I/O overlap Overall 48% |
| kimi-k2p5 fireworks_ai | In $0.6000 / 1M tokens Out $3.0000 / 1M tokens | imagetext
Output: text | Function callingTool choiceResponse schema | 262.1K | Partial I/O overlap Overall 46% |
| kimi-k2-instruct-0905 fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 32.8K | Partial I/O overlap Overall 43% |
| MiniMax-M2.7 sambanova | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Function callingTool choice | 131.1K | Same provider Overall 43% |
| kimi-k2-instruct fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 16.4K | Partial I/O overlap Overall 41% |
| firefunction-v2 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 40% |
| Llama-4-Scout-17B-16E-Instruct sambanova | In $0.4000 / 1M tokens Out $0.7000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 8.2K | Same provider Overall 38% |
| llama-v3p1-405b-instruct fireworks_ai | In $3.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 16.4K | Partial I/O overlap Overall 33% |
| gpt-oss-120b sambanova | In $3.0000 / 1M tokens Out $4.5000 / 1M tokens |
Output: unknown | Function callingTool choice | 131.1K | Same provider Overall 32% |
| DeepSeek-R1-Distill-Llama-70B sambanova | In $0.7000 / 1M tokens Out $1.4000 / 1M tokens |
Output: unknown | Low overlap | 131.1K | Same provider Overall 32% |
| qwen.qwen3-coder-next Bedrock | In $0.5000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 32% |
| qwen.qwen3-coder-next Bedrock | In $0.5000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 32% |
| qwen.qwen3-coder-next Bedrock | In $0.5000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 32% |
| qwen.qwen3-coder-next bedrock_converse | In $0.5000 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Partial I/O overlap Overall 32% |
| Meta-Llama-3.1-8B-Instruct sambanova | In $0.1000 / 1M tokens Out $0.2000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 16.4K | Same provider Overall 30% |
| Kimi-K2-Thinking gmi | In $0.8000 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Low overlap | 16.4K | Partial I/O overlap Overall 20% |
| ernie-4.5-vl-424b-a47b novita | In $0.4200 / 1M tokens Out $1.2500 / 1M tokens | imagetext
Output: text | Low overlap | 16.0K | Partial I/O overlap Overall 19% |
No models match this filter.