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mistral-7b-v0p2

fireworks_ai · chat model

mistral-7b-v0p2 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.

Input
$0.2000 / 1M tokens
Output
$0.2000 / 1M tokens
Cached input
N/A
Context
32.8K

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

Context window
32.8K
Max input tokens
32.8K
Max output tokens
32.8K
Max tokens
32.8K

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.

Comparing from
Model Cost Input shape Features Context Why it is close
mistral-7b-v0p2
fireworks_ai
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text
Output: text
No public capabilities
32.8K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

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-4k
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%
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