Model comparison

DeepSeek Coder 6.7B vs GPT-5.6 Terra

GPT-5.6 Terra has enough public results to be ranked (#15); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.

Last verified October 10, 2026. 1 shared benchmarks.

DeepSeek Coder 6.7B

DeepSeek

37.1

Unranked Sparse

GPT-5.6 Terra OpenAI

59.1

Rank #15 Confirmed

Summary

They share 1 benchmark with published results for both. DeepSeek Coder 6.7B scores higher in 0 categories and GPT-5.6 Terra in 1 category; one gap is clear of the uncertainty.
The widest gap is in coding, where GPT-5.6 Terra leads 57.1 to 35.2.
DeepSeek Coder 6.7B has downloadable open weights; the other is API-only.

Side by side

DeepSeek Coder 6.7B and GPT-5.6 Terra specifications
	DeepSeek Coder 6.7B	GPT-5.6 Terra
Provider	DeepSeek	OpenAI
Noometry Index	37.1	59.1
Released	2023-11-02	2026-07-09
Weights	Open	Proprietary
Context window	—	1.05M
Max output	—	128K
Input $ / M tokens	—	$2
Output $ / M tokens	—	$12
Results tracked	9	52

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Category by category

Coding GPT-5.6 Terra leads

DeepSeek Coder 6.7B: 35.2 (#216), GPT-5.6 Terra: 57.1 (#16)

Coding benchmarks
Benchmark	DeepSeek Coder 6.7B	GPT-5.6 Terra
DeepSWE	—	69.6%
FrontierCode	—	41.3%
CursorBench	—	41.3%
LMArena WebDev	—	1520
SciCode	—	55%
WeirdML	—	78.3%
BigCodeBench Instruct	35.5%	—
LMArena Coding	—	1484
BigCodeBench Complete	43.8%	—
ALE-Bench	—	1,951
HumanEval+	71.3%	—
MBPP+	65.6%	—

Agentic & Tool Use Not comparable

DeepSeek Coder 6.7B: —, GPT-5.6 Terra: 40.2 (#23)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek Coder 6.7B	GPT-5.6 Terra
APEX-Agents	—	58.2%
BALROG	—	53.2%
GDP.pdf	—	24.7%
Vending-Bench 2	—	7,343

Reasoning Not comparable

DeepSeek Coder 6.7B: —, GPT-5.6 Terra: 60.6 (#19)

Reasoning benchmarks
Benchmark	DeepSeek Coder 6.7B	GPT-5.6 Terra
Epoch Capabilities Index	88.88	159.31
ARC-AGI-2	—	83.9%
SimpleBench	—	48.9%
Kagi LLM Benchmark	—	51.3%
NYT Connections (extended)	—	78.4%
ARC-AGI-1	—	96.5%
CritPt	—	30%
Chess Puzzles	—	54%
LMArena Hard Prompts	—	1467
Mystery Game Puzzles	—	35%
DTBench	—	93.3%
LMCA	—	55%
Surface Evolver Bench	—	83.8%
WinoGrande	57.6%	—

Math Not comparable

DeepSeek Coder 6.7B: —, GPT-5.6 Terra: 81.5 (#10)

Math benchmarks
Benchmark	DeepSeek Coder 6.7B	GPT-5.6 Terra
FrontierMath (Tiers 1-3)	—	86%
FrontierMath Tier 4	—	70.7%
OTIS Mock AIME 2024-2025	—	99.7%
ProofBench	—	74%
LMArena Math	—	1463
GSM8K	21.3%	—

Knowledge Not comparable

DeepSeek Coder 6.7B: —, GPT-5.6 Terra: 61.3 (#27)

Knowledge benchmarks
Benchmark	DeepSeek Coder 6.7B	GPT-5.6 Terra
GPQA Diamond	—	93.3%
SimpleQA Verified	—	43.2%
LMArena Expert	—	1492
ARC (AI2) Challenge	36.4%	—
MMLU	36.4%	—

Multimodal Not comparable

DeepSeek Coder 6.7B: —, GPT-5.6 Terra: 47.5 (#10)

Multimodal benchmarks
Benchmark	DeepSeek Coder 6.7B	GPT-5.6 Terra
LMArena Vision	—	1271
Blueprint-Bench 2	—	30.8%
Furniture Assembly	—	54.2%
LMArena Document	—	1472

Multilingual Not comparable

DeepSeek Coder 6.7B: —, GPT-5.6 Terra: 54.5 (#42)

Multilingual benchmarks
Benchmark	DeepSeek Coder 6.7B	GPT-5.6 Terra
LMArena Non-English	—	1439
LMArena Chinese	—	1514
LMArena French	—	1476
LMArena German	—	1462
LMArena Japanese	—	1446
LMArena Korean	—	1420
LMArena Russian	—	1450
LMArena Spanish	—	1455

Instruction Following Not comparable

DeepSeek Coder 6.7B: —, GPT-5.6 Terra: 76.6 (#38)

Instruction Following benchmarks
Benchmark	DeepSeek Coder 6.7B	GPT-5.6 Terra
LMArena Instruction Following	—	1453

Long Context Not comparable

DeepSeek Coder 6.7B: —, GPT-5.6 Terra: 44.4 (#64)

Long Context benchmarks
Benchmark	DeepSeek Coder 6.7B	GPT-5.6 Terra
LMArena Longer Query	—	1452

Writing & Preference Not comparable

DeepSeek Coder 6.7B: —, GPT-5.6 Terra: 70.4 (#21)

Writing & Preference benchmarks
Benchmark	DeepSeek Coder 6.7B	GPT-5.6 Terra
LMArena Text	—	1446
LMArena Creative Writing	—	1411
EQ-Bench Creative Writing	—	1855
EQ-Bench 4	—	1234
LMArena Multi-Turn	—	1451

Frequently asked questions

Is DeepSeek Coder 6.7B better than GPT-5.6 Terra?