mistral-7b-instruct-4k
fireworks_ai · chat model
mistral-7b-instruct-4k is listed here as a chat model from fireworks_ai. 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 | $0.2000 / 1M tokens |
| Output | $0.2000 / 1M tokens |
| Embedding | $0.2000 / 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 |
|---|---|---|---|---|---|
| Mistral 7B comparison table | 49.93 | IFEval 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 7.62 | MT-Bench | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 37.15 | AGI-Eval 5-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 62.01 | MMLU 5-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 30.34 | MMLU-Pro 5-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 47.40 | OBQA 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 59.64 | SIQA 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 84.61 | HellaSwag 10-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 78.85 | WinoGrande 5-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 59.68 | TruthfulQA 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 87.34 | BoolQ 5-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 18.66 | SQuAD 2.0 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 63.65 | ARC-C 25-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 30.45 | GPQA 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 46.73 | BBH 3-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 34.76 | HumanEvalSynthesis pass@1 | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 21.65 | HumanEvalExplain pass@1 | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 53.05 | HumanEvalFix pass@1 | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 38.60 | MBPP pass@1 | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 37.68 | GSM8k 5-shot, cot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 13.10 | MATH 4-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 56.57 | PAWS-X (7 langs) 0-shot | Base model: Mistral 7B (Mistral 7B) | 2026-05-31 | Link |
| Mistral 7B comparison table | 35.27 | MGSM (6 langs) 5-shot | Base model: Mistral 7B (Mistral 7B) | 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.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| mistral-7b-instruct-4k fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: text | No public capabilities | 32.8K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| hermes-2-pro-mistral-7b fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 75% |
| mistral-7b fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 75% |
| mistral-7b-instruct-v0p2 fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 75% |
| mistral-7b-instruct-v3 fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 75% |
| mistral-7b-v0p2 fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 75% |
| nous-capybara-7b-v1p9 fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 75% |
| code-llama-13b fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Same provider Overall 68% |
| gemma-2-9b vercel_ai_gateway | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: text | Low overlap | 8.2K | Text covered Overall 64% |
| chronos-hermes-13b-v2 fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: text | Low overlap | 4.1K | Same provider Overall 62% |
| ai21.jamba-1-5-mini-v1:0 Bedrock | In $0.2000 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Low overlap | 256.0K | Text covered Overall 56% |
| llama-v3p2-11b-vision-instruct fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text image
Output: text | Low overlap | 16.4K | Same provider Overall 55% |
| amazon.nova-micro-v1:0 bedrock_converse | In $0.0350 / 1M tokens Out $0.1400 / 1M tokens | text
Output: text | Low overlap | 10.0K | Text covered Overall 54% |
| mistral.ministral-3-14b-instruct bedrock_converse | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text image
Output: text | Low overlap | 8.2K | Text covered Overall 52% |
| ministral-14b-2512 OpenRouter | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text image
Output: text | Low overlap | 262.1K | Text covered Overall 50% |
| ai21.jamba-instruct-v1:0 Bedrock | In $0.5000 / 1M tokens Out $0.7000 / 1M tokens | text
Output: text | Low overlap | 4.1K | Text covered Overall 49% |
| ai21.j2-mid-v1 Bedrock | In $12.5000 / 1M tokens Out $12.5000 / 1M tokens | text
Output: text | Low overlap | 8.2K | Text covered Overall 44% |
| ai21.j2-ultra-v1 Bedrock | In $18.8000 / 1M tokens Out $18.8000 / 1M tokens | text
Output: text | Low overlap | 8.2K | Text covered Overall 44% |
| ai21.jamba-1-5-large-v1:0 Bedrock | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | text
Output: text | Low overlap | 256.0K | Text covered Overall 43% |
| DeepSeek-V3 hyperbolic | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: unknown | Low overlap | 32.8K | Partial I/O overlap Overall 35% Missing text |
| llama-guard-4-12b Groq | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: unknown | Low overlap | 8.2K | Partial I/O overlap Overall 24% Missing text |
| QwQ-32B hyperbolic | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: unknown | Low overlap | 131.1K | Partial I/O overlap Overall 24% Missing text |
| Llama-3.3-70B-Instruct crusoe | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: unknown | Low overlap | 131.1K | Partial I/O overlap Overall 24% Missing text |
| llama3-8b-instruct gradient_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: unknown | Low overlap | 512 | Partial I/O overlap Overall 20% Missing text |
No models match this filter.