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Comparison · 3 models · Updated Oct 4, 2026

Mixtral 8x7B vs Mistral Nemo vs Claude Haiku 3

Too close to call on our weighted score (Mistral Nemo 48, Claude Haiku 3 47, Mixtral 8x7B 37). The right pick depends on what you value most.

  1. Mistral AI

    Mixtral 8x7B

    Released Dec 11, 2023

    37/100
    • ECI118.5
    • Price$0.70 / $0.70
    • Context32K
    Full specs Remove Mixtral 8x7B

  2. Mistral AI

    Mistral Nemo

    Released Jul 1, 2024

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

  3. Anthropic

    Claude Haiku 3

    Released Mar 13, 2024

    47/100
    • ECI118.4
    • Price$0.25 / $1.25
    • Context200K
    Full specs Remove Claude Haiku 3
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Mistral Nemo 48/100, Claude Haiku 3 47/100, Mixtral 8x7B 37/100), so choose by what matters most for your work: Mistral Nemo for raw capability and Claude Haiku 3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral NemoCapabilities Index (ECI): Mistral Nemo 118.7 · Mixtral 8x7B 118.5 · Claude Haiku 3 118.4
  • Lowest priceMistral NemoMistral Nemo $0.15 · Claude Haiku 3 $0.50 · Mixtral 8x7B $0.70 per 1M tokens (3:1 blend)
  • Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Mistral Nemo 128,000 · Mixtral 8x7B 32,000 tokens
  • Widest inputsClaude Haiku 3Mixtral 8x7B: Text · Mistral Nemo: Text · Claude Haiku 3: Text, Images, PDFs
  • Self-hostingMixtral 8x7B and Mistral NemoPublishes downloadable weights
How the score is built
MeasureWeightMixtral 8x7BMistral NemoClaude Haiku 3
CapabilityCapabilities Index (ECI)50%383938
Price25%578964
Inputs & features15%252560
Context window10%02432
Overall100%37/10048/10047/100
02 — Side by side

Every spec in one table

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

Mixtral 8x7B vs Mistral Nemo vs Claude Haiku 3 specifications side by side
SpecificationMixtral 8x7BMistral AIMistral NemoMistral AIClaude Haiku 3Anthropic
Capability
Capabilities Index (ECI)118.5118.7 (best)118.4
ECI rank#142 of 148#140 of 148 (best)#143 of 148
GPQA DiamondGraduate-level science questions30.6%29.9%36.3% (best)
OTIS Mock AIME 2024–2025Competition mathematics——1.8%
Price per million tokens
Input$0.70$0.15 (best)$0.25
Output$0.70$0.15 (best)$1.25
Cached input———
Blended (3:1)$0.70$0.15 (best)$0.50
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial Mistral APIMedian of 2 providers
Limits
Context window32,000 tokens128,000 tokens200,000 tokens (best)
Max output32,000 tokens128,000 tokens (best)4,096 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenOpenProprietary
API model IDopen-mixtral-8x7bmistral-nemo—
API providers15 (best)2
ReleasedDec 11, 2023Jul 1, 2024Mar 13, 2024
Knowledge cutoffJan 2024Jul 2024Aug 31, 2023
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.

  • Mixtral 8x7B$8.40
  • Mistral Nemo$1.80
  • Claude Haiku 3$5.00
04 — Questions

Which should you choose?

Which is better: Mixtral 8x7B, Mistral Nemo or Claude Haiku 3?

It is close. Our weighted score puts them within a point (Mistral Nemo 48/100, Claude Haiku 3 47/100, Mixtral 8x7B 37/100), so choose by what matters most for your work: Mistral Nemo for raw capability and Claude Haiku 3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mixtral 8x7B, Mistral Nemo or Claude Haiku 3?

Mistral Nemo is cheaper at $0.15 input / $0.15 output per million tokens (official Mistral API price). Claude Haiku 3 costs $0.25 input / $1.25 output per million tokens (median across 2 API providers); Mixtral 8x7B costs $0.70 input / $0.70 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 $0.50 for Claude Haiku 3 (3.3× as much) and $0.70 for Mixtral 8x7B (4.7× as much).

Which scores higher on benchmarks?

Mistral Nemo scores higher on the Capabilities Index (ECI): Mistral Nemo 118.7 (#140 of 148), Mixtral 8x7B 118.5 (#142 of 148) and Claude Haiku 3 118.4 (#143 of 148). The confidence ranges of the top two overlap (111.3–121.5 vs 111.3–121.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Haiku 3 36.3%, Mixtral 8x7B 30.6%, Mistral Nemo 29.9%.

Which is better for coding?

There are no published SWE-bench Verified results for Mixtral 8x7B, Mistral Nemo and Claude Haiku 3 yet, so there is no like-for-like coding score. On overall capability, Mistral Nemo leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Claude Haiku 3 has the largest context window at 200,000 tokens, against 128,000 for Mistral Nemo and 32,000 for Mixtral 8x7B. Maximum output per response: Mixtral 8x7B up to 32,000, Mistral Nemo up to 128,000, Claude Haiku 3 up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Mixtral 8x7B accepts text; Mistral Nemo accepts text; Claude Haiku 3 accepts text, images and PDFs. Claude Haiku 3 handles the widest range of inputs.

Are any of these open source?

Mixtral 8x7B and Mistral Nemo publishes its weights and can be self-hosted; Claude Haiku 3 is proprietary.

Which is newer?

Mistral Nemo is the newest, released Jul 1, 2024. Claude Haiku 3 came out Mar 13, 2024; Mixtral 8x7B came out Dec 11, 2023. Knowledge cutoff: Mixtral 8x7B Jan 2024, Mistral Nemo Jul 2024, Claude Haiku 3 Aug 31, 2023.

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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