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Codestral 2508 vs Grok 4.20

Updated October 21, 2026. 6 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Codestral 2508Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.90
0
Grok 4.20xAI
Coding
33.3
Overall
25.7
Output $/M
$2.50
6
vs boards won of 6 shared

Decision reading

Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; Codestral 2508 has none, so the two cannot be ranked on coding.

Codestral 2508 has the edge where output tokens cost 2.8x less.

Shared results
6
Codestral 2508 only
1
Grok 4.20 only
48
Like-for-like categories
1 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Codestral 2508 not benchmarked, Grok 4.20 33.3 from 2 benchmarks.
Widest category
Web design, 25.2 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: game dev: Codestral 2508 968 against Grok 4.20 1192, 28.0 points apart on a 0 to 100 scale.
Output price
Codestral 2508 $0.90 against Grok 4.20 $2.50 per million output tokens, 2.8x apart.
Context window
Codestral 2508 takes 256K tokens, Grok 4.20 2M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryCodestral 2508BarsGrok 4.20Ties
Web design06
All shared boards06
CodingDirectional onlySix of these boards feed the Vibe Coding Index9 boards, none shared
Coding benchmarks for Codestral 2508 and Grok 4.20
BenchmarkCodestral 2508Grok 4.20Leader
LiveCodeBench (Vals AI)Not measured84.3%Only Grok 4.20 measured
SWE-bench Verified (Vals AI)Not measured72.2%Only Grok 4.20 measured
Vibe Code Bench (Vals AI)Not measured4.1%Only Grok 4.20 measured
Code migration (Vals AI)Not measured0.3%Only Grok 4.20 measured
Terminal-Bench 2.1 (Vals AI)Not measured44.2%Only Grok 4.20 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured37.9%Only Grok 4.20 measured
Terminal-BenchNot measured57.3%Only Grok 4.20 measured
WeirdMLNot measured52.3%Only Grok 4.20 measured
ALE-Bench137.8Not measuredOnly Codestral 2508 measured
Neither model has a result on the other 29 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Codestral 2508 and Grok 4.20
BenchmarkCodestral 2508Grok 4.20Leader
AA Intelligence IndexNot measured25.7Only Grok 4.20 measured
Epoch Capabilities IndexNot measured152.1Only Grok 4.20 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Codestral 2508 and Grok 4.20
BenchmarkCodestral 2508Grok 4.20Leader
Design Arena: agents building web appsNot measured1144Only Grok 4.20 measured
Design Arena: agents building full-stack appsNot measured1054Only Grok 4.20 measured
Design Arena: agents building mobile appsNot measured1090Only Grok 4.20 measured
Design Arena: agents building Android appsNot measured1052Only Grok 4.20 measured
Design Arena: agents building Godot gamesNot measured1089Only Grok 4.20 measured
Design Arena: HTML slidesNot measured1180Only Grok 4.20 measured
Finance Agent (Vals AI)Not measured28.5%Only Grok 4.20 measured
Tax Agent Bench (Vals AI)Not measured7.0%Only Grok 4.20 measured
Legal Research Bench (Vals AI)Not measured13.9%Only Grok 4.20 measured
Excel Modeling Benchmark (Vals AI)Not measured11.7%Only Grok 4.20 measured
τ²-Bench TelecomNot measured93.0%Only Grok 4.20 measured
Vending-Bench 2Not measured$4,663Only Grok 4.20 measured
Neither model has a result on the other 27 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Reasoning benchmarks for Codestral 2508 and Grok 4.20
BenchmarkCodestral 2508Grok 4.20Leader
GPQA DiamondNot measured88.6%Only Grok 4.20 measured
MMMU Pro (Vals AI)Not measured83.5%Only Grok 4.20 measured
GPQA Diamond (Artificial Analysis run)Not measured91.1%Only Grok 4.20 measured
Humanity's Last Exam (Artificial Analysis run)Not measured34.5%Only Grok 4.20 measured
ARC-AGINot measured89.5%Only Grok 4.20 measured
ARC-AGI-2Not measured65.1%Only Grok 4.20 measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Math benchmarks for Codestral 2508 and Grok 4.20
BenchmarkCodestral 2508Grok 4.20Leader
AIMENot measured96.5%Only Grok 4.20 measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Knowledge benchmarks for Codestral 2508 and Grok 4.20
BenchmarkCodestral 2508Grok 4.20Leader
MMLU ProNot measured86.3%Only Grok 4.20 measured
LegalBench (Vals AI)Not measured77.7%Only Grok 4.20 measured
CaseLaw (Vals AI)Not measured54.4%Only Grok 4.20 measured
CorpFin (Vals AI)Not measured63.7%Only Grok 4.20 measured
TaxEval (Vals AI)Not measured74.1%Only Grok 4.20 measured
MortgageTax (Vals AI)Not measured45.4%Only Grok 4.20 measured
MedQA (Vals AI)Not measured94.5%Only Grok 4.20 measured
MedCode (Vals AI)Not measured32.2%Only Grok 4.20 measured
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Codestral 2508 and Grok 4.20
BenchmarkCodestral 2508Grok 4.20Leader
Design Arena: websites10131229Grok 4.20
Design Arena: UI components10171199Grok 4.20
Design Arena: game dev9681192Grok 4.20
Design Arena: data viz10171217Grok 4.20
Design Arena: 3D10201193Grok 4.20
Design Arena: all code categories10071221Grok 4.20
Design Arena: SVGNot measured1164Only Grok 4.20 measured
Design Arena: ASCII artNot measured1174Only Grok 4.20 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
General benchmarks for Codestral 2508 and Grok 4.20
BenchmarkCodestral 2508Grok 4.20Leader
SAGE (Vals AI)Not measured38.2%Only Grok 4.20 measured
MedScribe (Vals AI)Not measured63.4%Only Grok 4.20 measured
Vals Multimodal IndexNot measured39.1%Only Grok 4.20 measured
IFBenchNot measured81.2%Only Grok 4.20 measured
Long context reasoning (AA-LCR)Not measured69.0%Only Grok 4.20 measured
DTBenchNot measured90.1%Only Grok 4.20 measured
LMCANot measured38.7%Only Grok 4.20 measured
CL-benchNot measured22.2%Only Grok 4.20 measured
CL-bench LifeNot measured11.9%Only Grok 4.20 measured
Neither model has a result on the other 37 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Codestral 2508 and Grok 4.20
BenchmarkCodestral 2508Grok 4.20Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Codestral 2508$0.0008Fits in one request
Grok 4.20$0.0025Fits in one request

Codestral 2508 costs less

Repository review

50K input + 3K output tokens

Codestral 2508$0.018Fits in one request
Grok 4.20$0.070Fits in one request

Codestral 2508 costs less

Agent loop

200K input + 10K output tokens

Codestral 2508$0.069Fits in one request
Grok 4.20$0.275Fits in one request

Codestral 2508 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Codestral 2508 and Grok 4.20
SpecificationMistral Codestral 2508SpaceXAI Grok 4.20
MakerMistral AIxAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 1, 2025March 31, 2026
Context window256K2M
Input $/Mtok$0.30$1.25
Output $/Mtok$0.90$2.50
Coding indexNot benchmarked33.3
Independent measurements behind it02
Cost per solved taskNot computable$0.72
SourceOpenRouter listingOpenRouter listing

Questions

Is Codestral 2508 better than Grok 4.20 for coding?

Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; Codestral 2508 has none, so the two cannot be ranked on coding. Codestral 2508 has the edge where output tokens cost 2.8x less.

Which is cheaper, Codestral 2508 or Grok 4.20?

Codestral 2508 costs $0.30 per million input tokens and $0.90 per million output tokens; Grok 4.20 costs $1.25 and $2.50. Cost per solved task is known for Grok 4.20 only.

Which has the bigger context window, Codestral 2508 or Grok 4.20?

Grok 4.20, with 2M tokens against 256K.

How many benchmarks is the Codestral 2508 vs Grok 4.20 comparison based on?

6 benchmarks have a result for both models as of October 21, 2026. Codestral 2508's coding index rests on 0 independent benchmarks and Grok 4.20's on 2. Where only one model has a result, the page says so instead of naming a winner.

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