API cost decision in 10 seconds

Gemma 4 31B (free) vs Devstral 2 2512

Pick Gemma 4 31B (free) when budget is the priority.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Gemma 4 31B (free) when budget is the priority.

On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $1.4 for Devstral 2 2512, saving $1.4 (100% lower).

Cost-first pickGemma 4 31B (free)
Context-first pickBoth models
Sample savings$1.4100%
10x traffic gap$14

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $14. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemma 4 31B (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemma 4 31B (free)Devstral 2 2512
Input-heavy / RAG5M input + 500K outputGemma 4 31B (free)$0$3
Balanced workload1M input + 1M outputGemma 4 31B (free)$0$2.4
Output-heavy chatbot1M input + 5M outputGemma 4 31B (free)$0$10.4
Cheaper input Gemma 4 31B (free) $0 vs $0.4 / 1M

Gemma 4 31B (free) is free for input tokens while Devstral 2 2512 costs $0.4 per 1M tokens.

Cheaper output Gemma 4 31B (free) $0 vs $2 / 1M

Gemma 4 31B (free) is free for output tokens while Devstral 2 2512 costs $2 per 1M tokens.

Larger context Tie 262.14K vs 262.14K

Both models report the same context window at 262.14K tokens.

Sample workload Gemma 4 31B (free) $0 vs $1.4

Gemma 4 31B (free) is free for the standard workload while the other model is estimated at $1.4.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 31B (free) Calculating… Estimated API cost
Devstral 2 2512 Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Gemma 4 31B (free) has the lower input price; Gemma 4 31B (free) has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Gemma 4 31B (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Gemma 4 31B (free) and $1.4 for Devstral 2 2512.

Best Fit

Choose Gemma 4 31B (free) when you care most about lower input-token price, and lower output-token price.

Choose Devstral 2 2512 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $1.4 for Devstral 2 2512, saving $1.4 (100% lower).
  • Gemma 4 31B (free) is free for the standard workload while the other model is estimated at $1.4.
  • Gemma 4 31B (free) is free for input tokens while Devstral 2 2512 costs $0.4 per 1M tokens.
  • Gemma 4 31B (free) is free for output tokens while Devstral 2 2512 costs $2 per 1M tokens.
  • Both models report the same context window at 262.14K tokens.
Head-to-Head Specs
FeatureGemma 4 31B (free)
(Google)
Devstral 2 2512
(Mistral)
Input Price
prompt tokens per 1M
$0$0.4
Completion Price
per 1M tokens
$0$2
Sample Workload Cost
1M input + 500K output
$0$1.4
Context Window262.14K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemma 4 31B (free)On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $1.4 for Devstral 2 2512, saving $1.4 (100% lower).
High-volume input processingGemma 4 31B (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemma 4 31B (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Mistral Nemo can replace Devstral 2 2512 when lower sample workload cost matters most: $0.04.
  • Mistral Small 3 can replace Devstral 2 2512 when lower sample workload cost matters most: $0.09.
  • Ministral 3 3B 2512 can replace Devstral 2 2512 when lower sample workload cost matters most: $0.15.
  • Mistral Small 3.2 24B can replace Devstral 2 2512 when lower sample workload cost matters most: $0.17.
Larger context near this budget

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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Google catalog

Review all tracked Google models before deciding whether this matchup is the right shortlist.

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Mistral catalog

Check other Mistral models with comparable pricing, context, or release timing.

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Gemma 4 31B (free)

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

Devstral 2 2512

Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...