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mistral-nemo-base-2407

fireworks_ai · chat model

mistral-nemo-base-2407 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
128.0K

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
$0.2000 / 1M tokens
Output
$0.2000 / 1M tokens
Embedding
$0.2000 / 1M tokens

Token limits

Context window
128.0K
Max input tokens
128.0K
Max output tokens
128.0K
Max tokens
128.0K

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 Nemo 12B main benchmarks 83.5% HellaSwag (0-shot) Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) 2026-05-31 Link
Mistral Nemo 12B main benchmarks 76.8% Winogrande (0-shot) Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) 2026-05-31 Link
Mistral Nemo 12B main benchmarks 60.6% OpenBookQA (0-shot) Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) 2026-05-31 Link
Mistral Nemo 12B main benchmarks 70.4% CommonSenseQA (0-shot) Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) 2026-05-31 Link
Mistral Nemo 12B main benchmarks 50.3% TruthfulQA (0-shot) Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) 2026-05-31 Link
Mistral Nemo 12B main benchmarks 68.0% MMLU (5-shot) Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) 2026-05-31 Link
Mistral Nemo 12B main benchmarks 73.8% TriviaQA (5-shot) Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) 2026-05-31 Link
Mistral Nemo 12B main benchmarks 31.2% NaturalQuestions (5-shot) Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) 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-nemo-base-2407
fireworks_ai
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text
Output: text
No public capabilities
128.0K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
mistral-nemo-instruct-2407
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
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Overall 75%
cogito-v1-preview-llama-8b
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
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cogito-v1-preview-qwen-14b
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
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Overall 75%
deepseek-r1-0528-distill-qwen3-8b
fireworks_ai
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text
Output: text
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deepseek-r1-distill-llama-8b
fireworks_ai
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text
Output: text
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deepseek-r1-distill-qwen-14b
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text
Output: text
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ai21.jamba-1-5-mini-v1:0
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In $0.2000 / 1M tokens
Out $0.4000 / 1M tokens
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
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gemma-2-9b
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text
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Text covered
Overall 61%
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
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ministral-14b-2512
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
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amazon.nova-micro-v1:0
bedrock_converse
In $0.0350 / 1M tokens
Out $0.1400 / 1M tokens
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llama-v3p2-11b-vision-instruct
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
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mistral.ministral-3-14b-instruct
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
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8.2K
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Overall 49%
ai21.jamba-1-5-large-v1:0
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Out $8.0000 / 1M tokens
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256.0K
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Overall 49%
ai21.jamba-instruct-v1:0
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In $0.5000 / 1M tokens
Out $0.7000 / 1M tokens
text
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4.1K
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Overall 47%
ai21.j2-mid-v1
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In $12.5000 / 1M tokens
Out $12.5000 / 1M tokens
text
Output: text
Low overlap
8.2K
Text covered
Overall 41%
ai21.j2-ultra-v1
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In $18.8000 / 1M tokens
Out $18.8000 / 1M tokens
text
Output: text
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8.2K
Text covered
Overall 41%
QwQ-32B
hyperbolic
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
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Partial I/O overlap
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Missing text
Llama-3.3-70B-Instruct
crusoe
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text
Output: unknown
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131.1K
Partial I/O overlap
Overall 35%
Missing text
DeepSeek-V3
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text
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llama-guard-4-12b
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
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In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
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Partial I/O overlap
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