Skip to content

Granite 4.0 Micro vs Voxtral Small 24B 2507

vs
Voxtral Small 24B 2507

Mistral AI

40#373
Signal-by-Signal Comparison
SignalGranite 4.0 MicroDeltaVoxtral Small 24B 2507
Capabilities
33
-17
50
Pricing
100
+0
100
Context window size
81
+10
72
Recency
68
-2
70
Output Capacity
81
+11
71
Overall Result
3 wins
of 5
2 wins
Granite 4.0 Micro wins 3 of 5 signals

Score History

Score History (35 data points)
Granite 4.0 MicroVoxtral Small 24B 2507
Granite 4.0 Micro

40

current score

Leader

Tied

right now

Voxtral Small 24B 2507

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Granite 4.0 Micro

IBM

Best Value
Per request$0.000073
Daily$0.24
Monthly$7.30
Annual$87.60

Voxtral Small 24B 2507

Mistral AI

Per request$0.000250
Daily$0.83
Monthly$25.00
Annual$300.00

Granite 4.0 Micro saves you $17.70/month

That's $212.40/year compared to Voxtral Small 24B 2507 at your current usage level of 100K calls/month.

71% cheaper
Choose Granite 4.0 Micro for cost optimization

Granite 4.0 Micro pricing:
Input:$0.02/M tokens
Output:$0.11/M tokens
Voxtral Small 24B 2507 pricing:
Input:$0.10/M tokens
Output:$0.30/M tokens
Tie
Granite 4.0 Micro

IBM

40

Composite Score

Tie
Voxtral Small 24B 2507

Mistral AI

40

Composite Score

Signal-by-Signal Comparison
MetricGranite 4.0 MicroVoxtral Small 24B 2507Winner
Overall Score
40
40
--
Rank#375#373
Voxtral Small 24B 2507
Quality Rank#375#373
Voxtral Small 24B 2507
Adoption Rank#375#373
Voxtral Small 24B 2507
Parameters--24B--
Context Window131K33K
Granite 4.0 Micro
Pricing$0.02/$0.11/M$0.10/$0.30/M--
Signal Scores
Capabilities
33
50
Voxtral Small 24B 2507
Pricing
100
100
Granite 4.0 Micro
Context window size
81
72
Granite 4.0 Micro
Recency
68
70
Voxtral Small 24B 2507
Output Capacity
81
71
Granite 4.0 Micro
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Granite 4.0 MicroEntry Level

Scores 40/100 (rank #375), placing it in the top -29% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Voxtral Small 24B 2507Entry Level

Scores 40/100 (rank #373), placing it in the top -28% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Granite 4.0 Micro when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (131K token context)
  • Self-hosted deployments where you need full control over the model

Choose Voxtral Small 24B 2507 when you need:

  • Agentic applications using tool/function calling
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Granite 4.0 MicroBest Value
Input cost$0.02/M tokens
Output cost$0.11/M tokens
Cost per quality point$0.003
Est. monthly (1M tokens/day)$1.94
Voxtral Small 24B 2507
Input cost$0.10/M tokens
Output cost$0.30/M tokens
Cost per quality point$0.010
Est. monthly (1M tokens/day)$6.00

Granite 4.0 Micro offers 68% better value per quality point. At 1M tokens/day, you'd spend $1.94/month with Granite 4.0 Micro vs $6.00/month with Voxtral Small 24B 2507 - a $4.06 monthly difference.

Latency & Speed
Granite 4.0 MicroFaster
Speed score0/100
Voxtral Small 24B 2507
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Granite 4.0 Micro

Customer support chatbot

Suitable for user-facing chat with competitive response times. Granite 4.0 Micro also offers lower per-token costs for high-volume support

Granite 4.0 Micro

Long document analysis

Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass

Granite 4.0 Micro

Batch data extraction

Lower output pricing ($0.11/M) reduces costs when processing thousands of records daily

Granite 4.0 Micro

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Granite 4.0 Micro
Which Should You Choose?
Our recommendation:
Granite 4.0 Micro

Granite 4.0 Micro and Voxtral Small 24B 2507 are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by IBM

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 68% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Mistral AI

Consider for specialized use cases.

Capability Comparison
CapabilityGranite 4.0 MicroVoxtral Small 24B 2507
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Granite 4.0 Micro

IBM

Best Value
$0.1650
estimated monthly cost

Voxtral Small 24B 2507

Mistral AI

$0.5400
estimated monthly cost

Granite 4.0 Micro saves you $0.3750/month

That's 69% cheaper than Voxtral Small 24B 2507 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGranite 4.0 MicroVoxtral Small 24B 2507
Context Window131K33K
Max Output Tokens117,90026,214
Open SourceYesYes
CreatedOct 20, 2025Oct 30, 2025
Last updated: 56m ago

Related comparisons

Granite 4.0 Micro vs Voxtral Small 24B 2507 (2026) | LM Market Cap