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Mistral-7B-Instruct-v0.3

ovhcloud · chat model

Mistral-7B-Instruct-v0.3 is listed here as a chat model from ovhcloud. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.1000 / 1M tokens
Output
$0.1000 / 1M tokens
Cached input
N/A
Context
127.0K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

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
$0.1000 / 1M tokens
Output
$0.1000 / 1M tokens
Embedding
$0.1000 / 1M tokens

Token limits

Context window
127.0K
Max input tokens
127.0K
Max output tokens
127.0K
Max tokens
127.0K

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
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-Instruct-v0.3
ovhcloud
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
127.0K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
Llama-3.1-8B-Instruct
ovhcloud
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
131.0K
Same provider
Overall 60%
Mistral-Nemo-Instruct-2407
ovhcloud
In $0.1300 / 1M tokens
Out $0.1300 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
118.0K
Same provider
Overall 54%
ministral-3-3b-2512
Mistral
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
131.1K
Partial I/O overlap
Overall 53%
devstral-small-2505
Mistral
In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
128.0K
Partial I/O overlap
Overall 53%
devstral-small-2507
Mistral
In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
128.0K
Partial I/O overlap
Overall 53%
llama3.1-8b
cerebras
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingTool choice
128.0K
Partial I/O overlap
Overall 52%
Mistral-Small-3.2-24B-Instruct-2506
ovhcloud
In $0.0900 / 1M tokens
Out $0.2800 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
128.0K
Same provider
Overall 46%
devstral-small-latest
Mistral
In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
Partial I/O overlap
Overall 45%
gemma-3-12b-it
crusoe
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingTool choice
131.1K
Partial I/O overlap
Overall 43%
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
Same provider
Overall 43%
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
Partial I/O overlap
Overall 41%
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 38%
DeepSeek-R1-Distill-Llama-70B
ovhcloud
In $0.6700 / 1M tokens
Out $0.6700 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
131.0K
Same provider
Overall 36%
meta-llama-3.1-8b-instruct
friendliai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
8.2K
Partial I/O overlap
Overall 36%
Qwen3-32B
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In $0.0800 / 1M tokens
Out $0.2300 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
32.0K
Same provider
Overall 35%
kimi-k2p5
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In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
Function callingTool choiceResponse schema
262.1K
Partial I/O overlap
Overall 34%
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 31%
llama-v3p1-8b-instruct
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Response schema
16.4K
Partial I/O overlap
Overall 30%
llama-v3p2-1b-instruct
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Response schema
16.4K
Partial I/O overlap
Overall 30%
llama-v3p2-3b-instruct
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Response schema
16.4K
Partial I/O overlap
Overall 30%
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 29%
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 28%
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 28%