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Devstral 2 2512 vs GPT-5.6 Sol Pro

Devstral 2 2512 costs 10.0x less per output token than GPT-5.6 Sol Pro ($2.00 vs $20.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Devstral 2 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
GPT-5.6 Sol ProOpenAI
Coding
No data
Overall
No data
Output $/M
$20.00
vs $2.00 vs $20.00 per 1M output tokens. Devstral 2 2512 is 10.0x cheaper.

Devstral 2 2512 or GPT-5.6 Sol Pro: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Devstral 2 2512 for output tokens 10.0x cheaper ($2.00 vs $20.00 per million).

No benchmark has tested both yet. Devstral 2 2512 has results on SWE-bench Verified, AA Coding Index and LiveCodeBench (Vals AI); GPT-5.6 Sol Pro on WeirdML, APEX-Agents and SimpleBench. Compare them on price and context instead.

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
Devstral 2 2512 not benchmarked, GPT-5.6 Sol Pro not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Devstral 2 2512 $2.00 against GPT-5.6 Sol Pro $20.00 per million output tokens, 10.0x apart.
Context window
Devstral 2 2512 takes 262K tokens, GPT-5.6 Sol Pro 1.05M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index5 boards measured
Coding benchmarks for Devstral 2 2512 and GPT-5.6 Sol Pro
BenchmarkDevstral 2 2512GPT-5.6 Sol ProLeader
SWE-bench Verified53.8%Not measuredOnly Devstral 2 2512 measured
AA Coding Index31.3Not measuredOnly Devstral 2 2512 measured
LiveCodeBench (Vals AI)51.8%Not measuredOnly Devstral 2 2512 measured
SWE-bench Verified (Vals AI)62.8%Not measuredOnly Devstral 2 2512 measured
WeirdMLNot measured89.4%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Devstral 2 2512 and GPT-5.6 Sol Pro
BenchmarkDevstral 2 2512GPT-5.6 Sol ProLeader
AA Intelligence Index8.6Not measuredOnly Devstral 2 2512 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Agentic work benchmarks for Devstral 2 2512 and GPT-5.6 Sol Pro
BenchmarkDevstral 2 2512GPT-5.6 Sol ProLeader
AA Agentic Index2.3Not measuredOnly Devstral 2 2512 measured
APEX-AgentsNot measured51.4%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for Devstral 2 2512 and GPT-5.6 Sol Pro
BenchmarkDevstral 2 2512GPT-5.6 Sol ProLeader
SimpleBenchNot measured71.7%Only GPT-5.6 Sol Pro measured
Chess puzzlesNot measured68.0%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 20 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Math benchmarks for Devstral 2 2512 and GPT-5.6 Sol Pro
BenchmarkDevstral 2 2512GPT-5.6 Sol ProLeader
FrontierMath, tier 4Not measured80.5%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 12 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for Devstral 2 2512 and GPT-5.6 Sol Pro
BenchmarkDevstral 2 2512GPT-5.6 Sol ProLeader
DTBenchNot measured96.0%Only GPT-5.6 Sol Pro measured
LMCANot measured59.2%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 44 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

Devstral 2 2512$0.0014Fits in one request
GPT-5.6 Sol Pro$0.014Fits in one request

Devstral 2 2512 costs less

Repository review

50K input + 3K output tokens

Devstral 2 2512$0.026Fits in one request
GPT-5.6 Sol Pro$0.260Fits in one request

Devstral 2 2512 costs less

Agent loop

200K input + 10K output tokens

Devstral 2 2512$0.100Fits in one request
GPT-5.6 Sol Pro$1.00Fits in one request

Devstral 2 2512 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 Devstral 2 2512 and GPT-5.6 Sol Pro
SpecificationMistral Devstral 2 2512OpenAI GPT-5.6 Sol Pro
MakerMistral AIOpenAI
WeightsOpen weightsNo public weights listed
ReleasedDecember 9, 2025July 9, 2026
Context window262K1.05M
Input $/Mtok$0.40$4.00
Output $/Mtok$2.00$20.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$1.19Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Devstral 2 2512 better than GPT-5.6 Sol Pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Devstral 2 2512 for output tokens 10.0x cheaper ($2.00 vs $20.00 per million).

Which is cheaper, Devstral 2 2512 or GPT-5.6 Sol Pro?

Devstral 2 2512 costs $0.40 per million input tokens and $2.00 per million output tokens; GPT-5.6 Sol Pro costs $4.00 and $20.00. Cost per solved task is known for Devstral 2 2512 only.

Which has the bigger context window, Devstral 2 2512 or GPT-5.6 Sol Pro?

GPT-5.6 Sol Pro, with 1.05M tokens against 262K.

Has any benchmark tested both Devstral 2 2512 and GPT-5.6 Sol Pro?

No benchmark has tested both yet. Devstral 2 2512 has results on SWE-bench Verified, AA Coding Index and LiveCodeBench (Vals AI); GPT-5.6 Sol Pro on WeirdML, APEX-Agents and SimpleBench. Compare them on price and context instead. Data as of October 21, 2026.

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