Verified November 2026

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Gemini 3.7 Flash vs Mistral Nemo

A straight cost comparison of Gemini 3.7 Flash (Google Gemini) and Mistral Nemo (Mistral AI), per 1,000,000 tokens, verified November 2026.

$0.75Gemini 3.7 Flash input / 1M
$0.15Mistral Nemo input / 1M
89%Blended price gap
Mistral NemoCheaper blended

Rate-by-rate comparison

USD per 1M tokens · November 2026
MetricGemini 3.7 FlashMistral NemoWinner
Input / 1M$0.75$0.15Mistral Nemo
Cached input / 1M$0.075$0.015Mistral Nemo
Cache write / 1M——Tie
Output / 1M$3.75$0.15Mistral Nemo
Context window1,000,000128,000Gemini 3.7 Flash
Batch APIYesYesTie
Long-context tier> 200,000None—

For per-token metrics, the lower number wins. For context window and batch support, the higher or broader option wins. A dash means the provider does not publish that rate: a missing cache-write fee means writes are not billed per token, while a missing cached-input rate means cache hits bill at the full input rate.

Blended cost: 1M input + 250K output

ModelBlended costDifference
Gemini 3.7 Flash$1.69+$1.50
Mistral Nemo$0.188Cheaper

Ten workloads, two bills

The same two models, priced across ten workloads that differ only in their input:output ratio. Nothing else changes — no retries, no system prompt, no middleware.

WorkloadGemini 3.7 FlashMistral NemoWinner
Classification
100K reqs · 500 in / 10 out
$41.25$7.65Mistral Nemo
Data extraction
10K reqs · 2K in / 200 out
$22.50$3.30Mistral Nemo
Support chat
1K reqs · 4K in / 600 out
$5.25$0.69Mistral Nemo
Code review
2K reqs · 8K in / 1.5K out
$23.25$2.85Mistral Nemo
Summarisation
1K reqs · 20K in / 1K out
$18.75$3.15Mistral Nemo
Agent loop
5K reqs · 12K in / 2K out
$82.50$10.50Mistral Nemo
Translation
500 reqs · 15K in / 15K out
$33.75$2.25Mistral Nemo
Long-document QA
200 reqs · 120K in / 800 out
$18.60$3.62Mistral Nemo
Cached RAG
1K reqs · 50K in (45K cached) / 1K out
$10.91$1.58Mistral Nemo
Nightly batch
10K reqs · 10K in / 2K out
$75$9Mistral Nemo

Gemini 3.7 Flash wins 0 of 10, Mistral Nemo wins 10 of 10. The winner is set by the token mix, not by the headline rate.

Where the two bills cross over

Mistral Nemo is cheaper on both sides of the mix: $0.15 vs $0.75 per million input tokens, and $0.15 vs $3.75 per million output. No input:output ratio reverses that, so on price alone the other model never becomes the better choice — it has to win on context, latency or output quality.

Cost at four scales

The same support-chat workload (4K input, 600 output per request) at four monthly volumes.

Requests / monthGemini 3.7 FlashMistral NemoDifference
100$0.525$0.069Mistral Nemo cheaper by $0.456
1,000$5.25$0.69Mistral Nemo cheaper by $4.56
10,000$52.50$6.90Mistral Nemo cheaper by $45.60
100,000$525$69Mistral Nemo cheaper by $456

What caching does to each bill

Caching only helps the part of the prompt that repeats. This is the support-chat workload (1,000 requests, 4,000 input tokens each) with an increasing share of that prompt served from a warm cache, written once on the first request.

Cached share of the promptGemini 3.7 FlashMistral NemoWinner
0%$5.25$0.69Mistral Nemo
50%$3.90$0.42Mistral Nemo
80%$3.09$0.258Mistral Nemo
95%$2.69$0.178Mistral Nemo

Both models publish a cached-read rate, so the discount is comparable: Gemini 3.7 Flash reads cache at $0.075 per million, Mistral Nemo at $0.015.

Which one should you pick?

Gemini 3.7 Flash wins on none of the ten workloads above, while Mistral Nemo wins on classification, data extraction, support chat, code review, summarisation, agent loop, translation, long-document qa, cached rag, nightly batch.

Beyond price, the two differ on input rate ($0.75 vs $0.15); output rate ($3.75 vs $0.15); cached-input rate ($0.075 vs $0.015); context window (1,000,000 vs 128,000); long-context tier (yes, above 200,000 vs none).

Batch mode is available on Gemini 3.7 Flash and Mistral Nemo, which halves the nightly job. Both publish cached-input discounts, so a stable system prompt is worth caching on either.

FAQ

Is Gemini 3.7 Flash cheaper than Mistral Nemo?

On a blended 1M-input-plus-250K-output workload, Mistral Nemo is cheaper by 89% ($0.188 vs $1.69). The gap changes for cache-heavy prompts and for batch jobs, as the workload table shows.

Which handles longer prompts, Gemini 3.7 Flash or Mistral Nemo?

Mistral Nemo has the larger context window (1,000,000 vs 128,000 tokens). Watch the long-context threshold on Gemini 3.7 Flash: rates rise once input passes it.

Do both models support prompt caching?

Gemini 3.7 Flash bills cached reads at $0.075 per 1M; Mistral Nemo at $0.015.

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