ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Mistral Large 2.1 vs Mistral Nemo

Mistral Nemo comes out ahead, 48 to 38 on our weighted score, and it is the cheaper option too.

  1. Mistral AI

    Mistral Large 2.1

    Released Nov 18, 2024

    38/100
    • ECI128.5
    • Price$2.00 / $6.00
    • Context131K
    Full specs Remove Mistral Large 2.1
  2. Our pick

    Mistral AI

    Mistral Nemo

    Released Jul 1, 2024

    48/100
    • ECI118.7
    • Price$0.15 / $0.15
    • Context128K
    Full specs Remove Mistral Nemo

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Mistral Nemo is our pick

Mistral Nemo is the better all-round choice, scoring 48/100 against Mistral Large 2.1 (38). It leads on price. Mistral Large 2.1 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral Large 2.1Capabilities Index (ECI): Mistral Large 2.1 128.5 · Mistral Nemo 118.7
  • Lowest priceMistral NemoMistral Nemo $0.15 · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
  • Longest contextMistral Large 2.1Mistral Large 2.1 131,072 · Mistral Nemo 128,000 tokens
  • Widest inputsSame inputsMistral Large 2.1: Text · Mistral Nemo: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMistral Large 2.1Mistral Nemo
CapabilityCapabilities Index (ECI)50%5139
Price25%2789
Inputs & features15%2525
Context window10%2424
Overall100%38/10048/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Mistral Large 2.1 vs Mistral Nemo specifications side by side
SpecificationMistral Large 2.1Mistral AIMistral NemoMistral AI
Capability
Capabilities Index (ECI)128.5 (best)118.7
ECI rank#130 of 148 (best)#140 of 148
GPQA DiamondGraduate-level science questions51.3% (best)29.9%
OTIS Mock AIME 2024–2025Competition mathematics7.8%—
Price per million tokens
Input$2.00$0.15 (best)
Output$6.00$0.15 (best)
Cached input——
Blended (3:1)$3.00$0.15 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial Mistral API
Limits
Context window131,072 tokens (best)128,000 tokens
Max output16,384 tokens128,000 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDmistral-large-2411mistral-nemo
API providers25 (best)
ReleasedNov 18, 2024Jul 1, 2024
Knowledge cutoffNov 2024Jul 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Mistral Large 2.1$32.00
  • Mistral Nemo$1.80
04 — Questions

Which should you choose?

Which is better: Mistral Large 2.1 or Mistral Nemo?

Mistral Nemo is the better all-round choice, scoring 48/100 against Mistral Large 2.1 (38). It leads on price. Mistral Large 2.1 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Large 2.1 or Mistral Nemo?

Mistral Nemo is cheaper at $0.15 input / $0.15 output per million tokens (official Mistral API price). Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Mistral Nemo versus $3.00 for Mistral Large 2.1 (20× as much).

Which scores higher on benchmarks?

Mistral Large 2.1 scores higher on the Capabilities Index (ECI): Mistral Large 2.1 128.5 (#130 of 148) and Mistral Nemo 118.7 (#140 of 148). Their confidence ranges do not overlap (123.8–130.8 vs 111.3–121.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — Mistral Large 2.1 51.3%, Mistral Nemo 29.9%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large 2.1 and Mistral Nemo yet, so there is no like-for-like coding score. On overall capability, Mistral Large 2.1 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Mistral Large 2.1 has the largest context window at 131,072 tokens, against 128,000 for Mistral Nemo. Maximum output per response: Mistral Large 2.1 up to 16,384, Mistral Nemo up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Mistral Large 2.1 accepts text; Mistral Nemo accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Mistral Large 2.1 is the newest, released Nov 18, 2024. Mistral Nemo came out Jul 1, 2024. Knowledge cutoff: Mistral Large 2.1 Nov 2024, Mistral Nemo Jul 2024.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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